Initial Code Commit

2025-10-24 02:07:59 -04:00
commit f099f36838
63 changed files with 4425 additions and 0 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1,2 @@
+images/
+File Converter/pnpm-lock.yaml
--- a/Training/ai.ipynb
+++ b/Training/ai.ipynb
@@ -0,0 +1,58 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import dask.dataframe as dd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                               image  label\n",
+      "0  {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x...      0\n",
+      "1  {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x...      0\n",
+      "2  {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x...      0\n",
+      "3  {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x...      0\n",
+      "4  {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x...      0\n"
+     ]
+    }
+   ],
+   "source": [
+    "df = dd.read_parquet(\"hf://datasets/edwinpalegre/trashnet_enhanced/data/train-*.parquet\")\n",
+    "\n",
+    "print(df.show())"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
--- a/Training/electricity-sample-bill.pdf
+++ b/Training/electricity-sample-bill.pdf
--- a/Training/hf.py
+++ b/Training/hf.py
@@ -0,0 +1,6 @@
+# Load model directly
+from transformers import AutoImageProcessor, AutoModelForImageClassification
+
+processor = AutoImageProcessor.from_pretrained("edwinpalegre/ee8225-group4-vit-trashnet-enhanced")
+model = AutoModelForImageClassification.from_pretrained("edwinpalegre/ee8225-group4-vit-trashnet-enhanced")
+
--- a/Training/main.py
+++ b/Training/main.py
@@ -0,0 +1,96 @@
+import dask.dataframe as dd
+
+from azure.cognitiveservices.vision.customvision.training import CustomVisionTrainingClient
+from azure.cognitiveservices.vision.customvision.prediction import CustomVisionPredictionClient
+from azure.cognitiveservices.vision.customvision.training.models import ImageFileCreateBatch, ImageFileCreateEntry, Region
+from msrest.authentication import ApiKeyCredentials
+import os, time, uuid
+
+ENDPOINT = "https://trashvision.cognitiveservices.azure.com/"
+training_key = "611e786a785648e38f346f18e7f7e7ed"
+prediction_key = "611e786a785648e38f346f18e7f7e7ed"
+project_id = "a67f7d7b-c980-49bd-b57d-0bd1367b29d0"
+
+credentials = ApiKeyCredentials(in_headers={"Training-key": training_key})
+trainer = CustomVisionTrainingClient(ENDPOINT, credentials)
+prediction_credentials = ApiKeyCredentials(in_headers={"Prediction-key": prediction_key})
+predictor = CustomVisionPredictionClient(ENDPOINT, prediction_credentials)
+
+df = dd.read_parquet("hf://datasets/edwinpalegre/trashnet_enhanced/data/train-*.parquet")
+
+# ## iterate over the the first 5 rows of the dataframe and decode the image bytes to an image and save it to a file
+
+tags = trainer.get_tags(project_id)
+
+biodegradable_tag = None
+cardboard_tag = None
+glass_tag = None
+metal_tag = None
+paper_tag = None
+plastic_tag = None
+
+for tag in tags:
+    if tag.name == "biodegradable":
+        biodegradable_tag = tag
+    elif tag.name == "cardboard":
+        cardboard_tag = tag
+    elif tag.name == "glass":
+        glass_tag = tag
+    elif tag.name == "metal":
+        metal_tag = tag
+    elif tag.name == "paper":
+        paper_tag = tag
+    elif tag.name == "plastic":
+        plastic_tag = tag
+        
+print(biodegradable_tag)
+print(cardboard_tag)
+print(glass_tag)
+print(metal_tag)
+print(paper_tag)
+print(plastic_tag)
+
+# get all images from in the current dir and upload them to the custom vision project
+
+# base_image_location = os.path.join (os.path.dirname(__file__), "images")
+
+# tagged_images_with_regions = []
+
+# for image in os.listdir(base_image_location):
+#     print(image)
+#     with open(os.path.join(base_image_location, image), "rb") as image_contents:
+#         trainer.create_images_from_data(project_id, image_contents.read(), [biodegradable_tag.id])
+#         print("Uploaded image: ", image)
+#         time.sleep(5)
+   
+skip = 10031
+count = 0
+    
+for index, row in df.iterrows():
+    
+    if count < skip:
+        count += 1
+        continue
+    else: 
+        count += 1
+    
+    image = row["image"]["bytes"]
+    label = row["label"]
+    
+    if label == 0:
+        trainer.create_images_from_data(project_id, image, [biodegradable_tag.id])
+    elif label == 1:
+        trainer.create_images_from_data(project_id, image, [cardboard_tag.id])
+    elif label == 2:
+        trainer.create_images_from_data(project_id, image, [glass_tag.id])
+    elif label == 3:
+        trainer.create_images_from_data(project_id, image, [metal_tag.id])
+    elif label == 4:
+        trainer.create_images_from_data(project_id, image, [paper_tag.id])
+    elif label == 5:
+        trainer.create_images_from_data(project_id, image, [plastic_tag.id])
+    
+    print(f"C: {count}, I: {index}, L: {label}, Uploaded image")
+    time.sleep(1)
+    
+print("Done uploading images")
--- a/Training/ml.py
+++ b/Training/ml.py
@@ -0,0 +1,39 @@
+import dask.dataframe as dd
+import os
+
+df = dd.read_parquet("hf://datasets/edwinpalegre/trashnet_enhanced/data/train-*.parquet")
+
+count = 0
+
+for index, row in df.iterrows():
+    label = row["label"]
+    image = row["image"]["bytes"]
+    
+    if label == 0:
+        with open(os.path.join("images", "biodegradable", f"biodegradable_{count}.jpg"), "wb") as f:
+            f.write(image)
+    elif label == 1:
+        with open(os.path.join("images", "cardboard", f"cardboard_{count}.jpg"), "wb") as f:
+            f.write(image)
+    elif label == 2:
+        with open(os.path.join("images", "glass", f"glass_{count}.jpg"), "wb") as f:
+            f.write(image)
+    elif label == 3:
+        with open(os.path.join("images", "metal", f"metal_{count}.jpg"), "wb") as f:
+            f.write(image)
+    elif label == 4:
+        with open(os.path.join("images", "paper", f"paper_{count}.jpg"), "wb") as f:
+            f.write(image)
+    elif label == 5:
+        with open(os.path.join("images", "plastic", f"plastic_{count}.jpg"), "wb") as f:
+            f.write(image)
+    else:
+        print("Label not found")
+        break
+    
+    print(f"Saved image {count}")
+    count += 1
+    
+print("Done!")
+        
+        
--- a/Training/pdf.py
+++ b/Training/pdf.py
@@ -0,0 +1,29 @@
+from inference import get_model
+import supervision as sv
+import cv2
+
+# define the image url to use for inference
+image_file = "taylor-swift-album-1989.jpeg"
+image = cv2.imread(image_file)
+
+# load a pre-trained yolov8n model
+model = get_model(model_id="taylor-swift-records/3")
+
+# run inference on our chosen image, image can be a url, a numpy array, a PIL image, etc.
+results = model.infer(image)[0]
+
+# load the results into the supervision Detections api
+detections = sv.Detections.from_inference(results)
+
+# create supervision annotators
+bounding_box_annotator = sv.BoundingBoxAnnotator()
+label_annotator = sv.LabelAnnotator()
+
+# annotate the image with our inference results
+annotated_image = bounding_box_annotator.annotate(
+    scene=image, detections=detections)
+annotated_image = label_annotator.annotate(
+    scene=annotated_image, detections=detections)
+
+# display the image
+sv.plot_image(annotated_image)
--- a/Training/train.py
+++ b/Training/train.py
@@ -0,0 +1,29 @@
+import dask.dataframe as dd
+
+from azure.cognitiveservices.vision.customvision.training import CustomVisionTrainingClient
+from azure.cognitiveservices.vision.customvision.prediction import CustomVisionPredictionClient
+from azure.cognitiveservices.vision.customvision.training.models import ImageFileCreateBatch, ImageFileCreateEntry, Region
+from msrest.authentication import ApiKeyCredentials
+import os, time, uuid
+
+ENDPOINT = "https://trashvision.cognitiveservices.azure.com/"
+training_key = "611e786a785648e38f346f18e7f7e7ed"
+prediction_key = "611e786a785648e38f346f18e7f7e7ed"
+project_id = "a67f7d7b-c980-49bd-b57d-0bd1367b29d0"
+
+credentials = ApiKeyCredentials(in_headers={"Training-key": training_key})
+trainer = CustomVisionTrainingClient(ENDPOINT, credentials)
+prediction_credentials = ApiKeyCredentials(in_headers={"Prediction-key": prediction_key})
+predictor = CustomVisionPredictionClient(ENDPOINT, prediction_credentials)
+
+print ("Training...")
+iteration = trainer.train_project(project_id)
+while (iteration.status != "Completed"):
+    iteration = trainer.get_iteration(project_id, iteration.id)
+    print ("Training status: " + iteration.status)
+    time.sleep(1)
+    
+# The iteration is now trained. Publish it to the project endpoint
+trainer.publish_iteration(project_id, iteration.id, "HaxNet1", predictor)
+print ("Done!")
+
--- a/Converter/index.js
+++ b/Converter/index.js
@@ -0,0 +1,38 @@
+import express from 'express';
+import bodyParser from 'body-parser';
+import fs from 'fs';
+import path from 'path';
+
+import fileUpload from 'express-fileupload';
+
+import { pdf } from "pdf-to-img";
+
+const app = express();
+
+app.use(bodyParser.json());
+
+app.use(fileUpload());
+
+app.post('/convert', async(req, res) => {
+
+    console.log(req.files);
+
+    let file = req.files.pdf;
+
+    let images = [];
+    const document = await pdf(file.data, { scale: 3 });
+
+    for await (const image of document) {
+        images.push(image);
+    }
+
+    res.send(images);
+});
+
+app.get('/', (req, res) => {
+    res.send('Hello World');
+});
+
+app.listen(5000, () => {
+    console.log('Server is running on http://localhost:3000');
+});
--- a/Converter/package.json
+++ b/Converter/package.json
@@ -0,0 +1,21 @@
+{
+  "name": "Opensource",
+  "version": "1.0.0",
+  "description": "",
+  "type": "module",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "body-parser": "^1.20.3",
+    "express": "^4.21.1",
+    "express-fileupload": "^1.5.1",
+    "fs": "0.0.1-security",
+    "path": "^0.12.7",
+    "pdf-to-img": "^4.1.1"
+  }
+}
--- a/Project/.dockerignore
+++ b/Project/.dockerignore
@@ -0,0 +1,32 @@
+# Ignore node_modules directory
+node_modules
+
+# Ignore npm debug log
+npm-debug.log
+
+# Ignore Dockerfile and .dockerignore file
+Dockerfile
+.dockerignore
+
+# Ignore build output
+/build
+/dist
+
+# Ignore logs
+logs
+*.log
+
+# Ignore temporary files
+tmp
+temp
+*.tmp
+*.temp
+
+# Ignore coverage directory
+coverage
+
+# Ignore .git directory and related files
+.git
+.gitignore
+
+
--- a/Project/.eslintignore
+++ b/Project/.eslintignore
@@ -0,0 +1,20 @@
+.now/*
+*.css
+.changeset
+dist
+esm/*
+public/*
+tests/*
+scripts/*
+*.config.js
+.DS_Store
+node_modules
+coverage
+.next
+build
+!.commitlintrc.cjs
+!.lintstagedrc.cjs
+!jest.config.js
+!plopfile.js
+!react-shim.js
+!tsup.config.ts
--- a/Project/.eslintrc.json
+++ b/Project/.eslintrc.json
@@ -0,0 +1,122 @@
+{
+    "$schema": "https://json.schemastore.org/eslintrc.json",
+    "env": {
+        "browser": false,
+        "es2021": true,
+        "node": true
+    },
+    "extends": [
+        "next",
+        "plugin:react/recommended",
+        "plugin:prettier/recommended",
+        "plugin:react-hooks/recommended",
+        "plugin:jsx-a11y/recommended"
+    ],
+    "plugins": [
+        "react",
+        "unused-imports",
+        "import",
+        "@typescript-eslint",
+        "jsx-a11y",
+        "prettier"
+    ],
+    "parser": "@typescript-eslint/parser",
+    "parserOptions": {
+        "ecmaFeatures": {
+            "jsx": true
+        },
+        "ecmaVersion": 12,
+        "sourceType": "module"
+    },
+    "settings": {
+        "react": {
+            "version": "detect"
+        }
+    },
+    "rules": {
+        "react/no-unescaped-entities": "off",
+        "@next/next/no-page-custom-font": "off",
+        "no-console": "warn",
+        "react/prop-types": "off",
+        "react/jsx-uses-react": "off",
+        "react/react-in-jsx-scope": "off",
+        "react-hooks/exhaustive-deps": "off",
+        "jsx-a11y/click-events-have-key-events": "warn",
+        "jsx-a11y/interactive-supports-focus": "warn",
+        "prettier/prettier": "off",
+        "no-unused-vars": "off",
+        "unused-imports/no-unused-vars": "off",
+        "unused-imports/no-unused-imports": "warn",
+        "@typescript-eslint/no-unused-vars": [
+            "warn",
+            {
+                "args": "after-used",
+                "ignoreRestSiblings": false,
+                "argsIgnorePattern": "^_.*?$"
+            }
+        ],
+        "import/order": [
+            "warn",
+            {
+                "groups": [
+                    "type",
+                    "builtin",
+                    "object",
+                    "external",
+                    "internal",
+                    "parent",
+                    "sibling",
+                    "index"
+                ],
+                "pathGroups": [
+                    {
+                        "pattern": "~/**",
+                        "group": "external",
+                        "position": "after"
+                    }
+                ],
+                "newlines-between": "always"
+            }
+        ],
+        "react/self-closing-comp": "warn",
+        "react/jsx-sort-props": [
+            "warn",
+            {
+                "callbacksLast": true,
+                "shorthandFirst": true,
+                "noSortAlphabetically": false,
+                "reservedFirst": true
+            }
+        ],
+        "padding-line-between-statements": [
+            "warn",
+            {
+                "blankLine": "always",
+                "prev": "*",
+                "next": "return"
+            },
+            {
+                "blankLine": "always",
+                "prev": [
+                    "const",
+                    "let",
+                    "var"
+                ],
+                "next": "*"
+            },
+            {
+                "blankLine": "any",
+                "prev": [
+                    "const",
+                    "let",
+                    "var"
+                ],
+                "next": [
+                    "const",
+                    "let",
+                    "var"
+                ]
+            }
+        ]
+    }
+}
--- a/Project/.gitignore
+++ b/Project/.gitignore
@@ -0,0 +1,38 @@
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.js
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# local env files
+.env*.local
+.env
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts
+bun.lockb
+.env
--- a/Project/Dockerfile
+++ b/Project/Dockerfile
@@ -0,0 +1,25 @@
+
+# Use the official Node.js image as the base image
+FROM node:20
+
+# Set the working directory
+WORKDIR /app
+
+# Copy package.json and package-lock.json
+COPY package*.json ./
+
+# Install dependencies
+RUN npm install bun -g
+RUN bun install
+
+# Copy the rest of the application code
+COPY . .
+
+# Build the Next.js application
+RUN bun run build
+
+# Expose the port the app runs on
+EXPOSE 3000
+
+# Start the Next.js application
+CMD ["bun", "start"]
--- a/Project/README.md
+++ b/Project/README.md
@@ -0,0 +1 @@
+An app for tracking the carbon footprint of buildings.
--- a/Project/app/api/buildings/route.ts
+++ b/Project/app/api/buildings/route.ts
@@ -0,0 +1,100 @@
+// @ts-nocheck
+import { NextResponse } from 'next/server';
+import { CosmosClient } from "@azure/cosmos";
+
+const cosmosClient = new CosmosClient({
+    endpoint: process.env.COSMOS_ENDPOINT!,
+    key: process.env.COSMOS_KEY!
+});
+
+const database = cosmosClient.database(process.env.COSMOS_DATABASE_ID!);
+const container = database.container(process.env.COSMOS_CONTAINER_ID!);
+
+export async function GET(request: Request) {
+    const { searchParams } = new URL(request.url);
+    const id = searchParams.get('id');
+
+    console.log("Received GET request with id:", id);
+
+    try {
+        if (id) {
+            // Get a single building
+            console.log("Attempting to get building with id:", id);
+
+            const querySpec = {
+                query: "SELECT * FROM c WHERE c.id = @id",
+                parameters: [{ name: "@id", value: id }]
+            };
+
+            const { resources } = await container.items.query(querySpec).fetchAll();
+            console.log("Query result:", resources);
+
+            if (resources && resources.length > 0) {
+                console.log("Returning resource for id:", id);
+                return NextResponse.json(resources[0]);
+            } else {
+                console.log("Building not found for id:", id);
+                return NextResponse.json({ message: "Building not found" }, { status: 404 });
+            }
+        } else {
+            // Get all buildings
+            console.log("Attempting to get all buildings");
+            const { resources } = await container.items.readAll().fetchAll();
+            console.log("Number of buildings retrieved:", resources.length);
+
+            return NextResponse.json(resources);
+        }
+    } catch (error) {
+        console.error("Error in GET request:", error);
+        return NextResponse.json({ message: "Error fetching data", error }, { status: 500 });
+    }
+}
+
+// function deepMerge(target: any, source: any) {
+//     for (const key in source) {
+//         if (Array.isArray(source[key])) {
+//             if (!target[key]) target[key] = [];
+//             target[key] = [...target[key], ...source[key]];
+//         } else if (source[key] instanceof Object && key in target) {
+//             deepMerge(target[key], source[key]);
+//         } else {
+//             target[key] = source[key];
+//         }
+//     }
+//     return target;
+// }
+
+export async function PATCH(request: Request) {
+    try {
+        const { id, operation, ...data } = await request.json();
+
+        // Query for the existing item
+        const querySpec = {
+            query: "SELECT * FROM c WHERE c.id = @id",
+            parameters: [{ name: "@id", value: id }]
+        };
+
+        const { resources } = await container.items.query(querySpec).fetchAll();
+
+        let existingItem = resources[0] || { id };
+
+        if (operation === 'deleteWasteEntry') {
+            // Remove the waste entry at the specified index
+            const index = data.index;
+            existingItem.wasteGeneration.splice(index, 1);
+        } else {
+            // Deep merge the existing data with the new data
+            existingItem = { ...existingItem, ...data };
+        }
+
+
+        // Upsert the item
+        const { resource: result } = await container.items.upsert(existingItem);
+
+        console.log("Update successful. Result:", result);
+
+        return NextResponse.json({ message: "Building updated successfully", result });
+    } catch (error) {
+        return NextResponse.json({ message: "Error updating data", error }, { status: 500 });
+    }
+}
--- a/Project/app/api/chat/route.ts
+++ b/Project/app/api/chat/route.ts
@@ -0,0 +1,74 @@
+import { NextResponse } from 'next/server';
+
+export async function POST(request: Request) {
+    try {
+        const { imageURL, type } = await request.json();
+
+        if (!imageURL) {
+            return NextResponse.json({ error: "No image URL provided" }, { status: 400 });
+        }
+
+        const payload = {
+            messages: [
+                {
+                    role: "user",
+                    content: [
+                        {
+                            type: "text",
+                            text: ` Analyze the following ${type} bill image and extract the following information:
+                                        1. Multiple data points of usage, each with a date and ${type === 'gas' ? 'therms' : 'kWh'} used
+                                        2. Any other relevant usage data
+
+                                    Format the output as a JSON object with an array of data points and any additional data.
+                                    You must output valid JSON in the following format, or an empty array if no data is found:
+                                    {
+                                        "dataPoints": [
+                                            {
+                                                "date": "<ISO 8601 date string>",
+                                                "usage": <number>
+                                            },
+                                            // ... more data points
+                                        ]
+                                    }
+                            `
+                        },
+                        {
+                            type: "image_url",
+                            image_url: {
+                                url: imageURL
+                            }
+                        }
+                    ]
+                }
+            ],
+            temperature: 0.4,
+            top_p: 0.95,
+            max_tokens: 1000
+        };
+
+        const response = await fetch(process.env.AZURE_OPENAI_ENDPOINT as string, {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+                'api-key': process.env.AZURE_OPENAI_KEY as string,
+            },
+            body: JSON.stringify(payload),
+        });
+
+        console.log('CHAT RESPONSE', response);
+
+        if (!response.ok) {
+            throw new Error('Failed to generate description: ' + response.status + " " + response.statusText);
+        }
+
+        const data = await response.json();
+        const description = data.choices[0].message.content;
+
+        console.log("CHAT DESCRIPTION", description);
+        return NextResponse.json({ response: description });
+    } catch (error) {
+        console.error('Error processing chat:', error);
+        return NextResponse.json({ error: (error as Error).message }, { status: 500 });
+    }
+}
+
--- a/Project/app/api/pdf-to-image/route.ts
+++ b/Project/app/api/pdf-to-image/route.ts
@@ -0,0 +1,43 @@
+// @ts-nocheck
+
+import { NextRequest, NextResponse } from 'next/server';
+
+import { toBase64 } from 'openai/core';
+
+export async function POST(request: NextRequest) {
+    try {
+        const formData = await request.formData();
+
+        let res = await fetch(process.env.PDF_URI, {
+            method: 'POST',
+            body: formData
+        });
+        res = await res.json();
+
+        const pdfBuffer = await res[0];
+
+        let b64 = await toBase64(pdfBuffer);
+        console.log(b64);
+        console.log(request);
+
+        // Step 2: Use the image with the chat route
+        const chatResponse = await fetch(process.env.PROD_URL + '/api/chat', {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+            },
+            body: JSON.stringify({
+                imageURL: `data:image/png;base64,${b64}`,
+                type: formData.get('type'),
+            }),
+        });
+
+        const chatData = await chatResponse.json();
+        console.log("CHAT RESPONSE", chatData);
+
+        return NextResponse.json({ message: 'PDF converted successfully', response: chatData });
+    } catch (error) {
+        console.error('Error processing PDF:', error);
+        return NextResponse.json({ error: 'Failed to process PDF' }, { status: 500 });
+    }
+}
--- a/Project/app/buildings/[buildingid]/emissions/page.tsx
+++ b/Project/app/buildings/[buildingid]/emissions/page.tsx
@@ -0,0 +1,217 @@
+// app/buildings/[buildingid]/emissions/page.tsx
+"use client";
+
+import { useState, useEffect } from "react";
+import { CalendarDate } from "@internationalized/date";
+import { Button } from "@nextui-org/button";
+import { Divider } from "@nextui-org/divider";
+import { ButtonGroup } from "@nextui-org/button";
+import { Card, CardHeader, CardBody } from "@nextui-org/react";
+import { Input } from "@nextui-org/input";
+import { Popover, PopoverTrigger, PopoverContent } from "@nextui-org/popover";
+import { Calendar, DateValue } from "@nextui-org/calendar";
+
+import AddDataButton from "@/components/addDataButton";
+import { useBuilding } from "@/lib/useBuildingData";
+import EmissionsGraph from "@/components/emissionsGraph";
+
+interface EmissionsPageProps {
+    params: { buildingid: string };
+}
+
+export default function EmissionsPage({ params }: EmissionsPageProps) {
+    const { data: buildingData } = useBuilding(params.buildingid);
+
+    // State for filters
+    const [startDate, setStartDate] = useState<DateValue | null>(null);
+    const [endDate, setEndDate] = useState<DateValue | null>(null);
+    const [showWaste, setShowWaste] = useState(true);
+    const [showElectricity, setShowElectricity] = useState(true);
+    const [showGas, setShowGas] = useState(true);
+    const [graphType, setGraphType] = useState<'line' | 'area' | 'pie'>('line');
+
+    useEffect(() => {
+        if (buildingData) {
+            const allDates = [
+                ...buildingData.electricityUsage.map(d => d.timestamp),
+                ...buildingData.naturalGasUsage.map(d => d.timestamp),
+                ...buildingData.wasteGeneration.map(d => d.timestamp)
+            ];
+
+            if (allDates.length > 0) {
+                const earliestDate = new Date(Math.min(...allDates.map(d => (d as any).seconds * 1000)));
+                const latestDate = new Date(Math.max(...allDates.map(d => (d as any).seconds * 1000)));
+
+                earliestDate.setDate(earliestDate.getDate() - 1);
+                latestDate.setDate(latestDate.getDate() + 1);
+
+                setStartDate(new CalendarDate(earliestDate.getFullYear(), earliestDate.getMonth() + 1, earliestDate.getDate()));
+                setEndDate(new CalendarDate(latestDate.getFullYear(), latestDate.getMonth() + 1, latestDate.getDate()));
+            }
+        }
+    }, [buildingData]);
+
+    const handlePdfToImage = async () => {
+        try {
+            const formData = new FormData();
+            const pdfResponse = await fetch('/electricity-sample-bill.pdf');
+            const pdfBlob = await pdfResponse.blob();
+
+            formData.append('pdf', pdfBlob, 'electricity-sample-bill.pdf');
+
+            const response = await fetch('/api/pdf-to-image', {
+                method: 'POST',
+                body: { ...formData, type: 'electricity' }
+            });
+
+            if (!response.ok) {
+                throw new Error('Failed to convert PDF to image');
+            }
+
+            const result = await response.json();
+
+            console.log('PDF to Image conversion result:', result);
+            // Handle the result as needed
+        } catch (error) {
+            console.error('Error converting PDF to image:', error);
+            // Handle the error (e.g., show an error message to the user)
+        }
+    };
+
+    const handleStartDateChange = (date: DateValue) => {
+        setStartDate(date);
+    };
+
+    const handleEndDateChange = (date: DateValue) => {
+        setEndDate(date);
+    };
+
+    return (
+        <div className="flex flex-col items-center h-full p-4">
+
+            {/* Tab Title */}
+            <h1 className="text-6xl text-left self-start font-bold pt-8">
+                {`Emissions`}
+            </h1>
+
+
+            {/* Group for filters plus graph */}
+            <div className="flex flex-col justify-center w-full h-full">
+                {/* Horizontal group for adding data and filters */}
+                <AddDataButton buildingid={params.buildingid} />
+
+                <div className="flex gap-4 mt-4">
+                    {/* Data Type Selection Card */}
+                    <Card className="flex-1">
+                        <CardHeader>
+                            <h3 className="text-lg font-semibold">Data Types</h3>
+                        </CardHeader>
+                        <CardBody>
+                            <div className="flex gap-2">
+                                <Button
+                                    color={showElectricity ? "primary" : "default"}
+                                    onClick={() => setShowElectricity(!showElectricity)}
+                                >
+                                    Electricity
+                                </Button>
+                                <Button
+                                    color={showGas ? "primary" : "default"}
+                                    onClick={() => setShowGas(!showGas)}
+                                >
+                                    Natural Gas
+                                </Button>
+                                <Button
+                                    color={showWaste ? "primary" : "default"}
+                                    onClick={() => setShowWaste(!showWaste)}
+                                >
+                                    Waste
+                                </Button>
+                            </div>
+                        </CardBody>
+                    </Card>
+
+                    {/* Chart Type Selection Card */}
+                    <Card className="flex-1">
+                        <CardHeader>
+                            <h3 className="text-lg font-semibold">Chart Type</h3>
+                        </CardHeader>
+                        <CardBody>
+                            <ButtonGroup>
+                                <Button
+                                    color={graphType === 'line' ? "primary" : "default"}
+                                    onClick={() => setGraphType('line')}
+                                >
+                                    Line
+                                </Button>
+                                <Button
+                                    color={graphType === 'area' ? "primary" : "default"}
+                                    onClick={() => setGraphType('area')}
+                                >
+                                    Area
+                                </Button>
+                                <Button
+                                    color={graphType === 'pie' ? "primary" : "default"}
+                                    onClick={() => setGraphType('pie')}
+                                >
+                                    Pie
+                                </Button>
+                            </ButtonGroup>
+                        </CardBody>
+                    </Card>
+
+                    {/* Date Range Selection Card */}
+                    <Card className="flex-1">
+                        <CardHeader>
+                            <h3 className="text-lg font-semibold">Date Range</h3>
+                        </CardHeader>
+                        <CardBody>
+                            <div className="flex gap-2">
+                                <Popover placement="bottom">
+                                    <PopoverTrigger>
+                                        <Input
+                                            readOnly
+                                            label="Start Date"
+                                            value={startDate ? startDate.toString() : ''}
+                                        />
+                                    </PopoverTrigger>
+                                    <PopoverContent>
+                                        <Calendar
+                                            showMonthAndYearPickers
+                                            value={startDate}
+                                            onChange={handleStartDateChange}
+                                        />
+                                    </PopoverContent>
+                                </Popover>
+                                <Popover placement="bottom">
+                                    <PopoverTrigger>
+                                        <Input
+                                            readOnly
+                                            label="End Date"
+                                            value={endDate ? endDate.toString() : ''}
+                                        />
+                                    </PopoverTrigger>
+                                    <PopoverContent>
+                                        <Calendar
+                                            showMonthAndYearPickers
+                                            value={endDate}
+                                            onChange={handleEndDateChange}
+                                        />
+                                    </PopoverContent>
+                                </Popover>
+                            </div>
+                        </CardBody>
+                    </Card>
+                </div>
+
+                <Divider className="mt-6" />
+
+                {/* Render emissions graph */}
+                <EmissionsGraph
+                    buildingid={params.buildingid}
+                    filters={{ startDate: startDate ? startDate.toDate('UTC') : null, endDate: endDate ? endDate.toDate('UTC') : null, showWaste, showElectricity, showGas }}
+                    graphType={graphType}
+                />
+            </div>
+        </div>
+    );
+}
--- a/Project/app/buildings/[buildingid]/layout.tsx
+++ b/Project/app/buildings/[buildingid]/layout.tsx
@@ -0,0 +1,17 @@
+// app/buildings/[buildingid]/layout.tsx
+import Sidebar from "../../../components/sidebar";
+
+export default function BuildingLayout({
+    children,
+    params
+}: {
+    children: React.ReactNode;
+    params: { buildingid: string };
+}) {
+    return (
+        <div className="flex h-screen w-full">
+            <Sidebar buildingid={params.buildingid} />
+            <main className="flex-1 max-h-screen overflow-y-auto">{children}</main>
+        </div>
+    );
+}
--- a/Project/app/buildings/[buildingid]/page.tsx
+++ b/Project/app/buildings/[buildingid]/page.tsx
@@ -0,0 +1,13 @@
+// app/buildings/[buildingid]/page.tsx
+
+interface BuildingPageProps {
+    params: { buildingid: string };
+}
+
+export default function BuildingPage({ params }: BuildingPageProps) {
+    return (
+        <div className="flex items-center justify-center text-center h-full">
+            Select a tab to view information about this building.
+        </div>
+    );
+}
--- a/Project/app/buildings/[buildingid]/trash-scanner/oldpage.tsx
+++ b/Project/app/buildings/[buildingid]/trash-scanner/oldpage.tsx
@@ -0,0 +1,136 @@
+"use client";
+
+import React, { useRef, useState, useCallback, useEffect } from 'react';
+import Webcam from 'react-webcam';
+import { Card, CardBody } from '@nextui-org/card';
+import { Button } from '@nextui-org/button';
+import screenfull from 'screenfull';
+
+const TrashScanner: React.FC = () => {
+    const webcamRef = useRef<Webcam>(null);
+    const canvasRef = useRef<HTMLCanvasElement>(null);
+    const [isDrawing, setIsDrawing] = useState(false);
+    const [startPos, setStartPos] = useState({ x: 0, y: 0 });
+    const [endPos, setEndPos] = useState({ x: 0, y: 0 });
+    const containerRef = useRef<HTMLDivElement>(null);
+
+    //canvas size
+    const setCanvasSize = useCallback(() => {
+        const video = webcamRef.current?.video;
+        const canvas = canvasRef.current;
+        if (video && canvas) {
+            canvas.width = video.videoWidth;
+            canvas.height = video.videoHeight;
+        }
+    }, []);
+
+    // listener to set canvas size when video is ready
+    useEffect(() => {
+        const video = webcamRef.current?.video;
+
+        if (video) {
+            video.addEventListener('loadedmetadata', setCanvasSize);
+        }
+        return () => {
+            if (video) {
+                video.removeEventListener('loadedmetadata', setCanvasSize);
+            }
+        };
+    }, [setCanvasSize]);
+
+    const handleMouseDown = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {
+        const canvas = canvasRef.current;
+        if (!canvas) return;
+
+        const rect = canvas.getBoundingClientRect();
+        const scaleX = canvas.width / rect.width;
+        const scaleY = canvas.height / rect.height;
+        const x = (e.clientX - rect.left) * scaleX;
+        const y = (e.clientY - rect.top) * scaleY;
+
+        setIsDrawing(true);
+        setStartPos({ x, y });
+        setEndPos({ x, y });
+    }, []);
+
+    const handleMouseMove = useCallback((e: React.MouseEvent<HTMLCanvasElement>) => {
+        if (!isDrawing) return;
+
+        const canvas = canvasRef.current;
+        if (!canvas) return;
+
+        const rect = canvas.getBoundingClientRect();
+        const scaleX = canvas.width / rect.width;
+        const scaleY = canvas.height / rect.height;
+        const x = (e.clientX - rect.left) * scaleX;
+        const y = (e.clientY - rect.top) * scaleY;
+
+        setEndPos({ x, y });
+    }, [isDrawing]);
+
+    const handleMouseUp = useCallback(() => {
+        setIsDrawing(false);
+    }, []);
+
+    const drawBox = useCallback(() => {
+        const canvas = canvasRef.current;
+        const ctx = canvas?.getContext('2d');
+        if (!ctx || !canvas) return;
+
+        ctx.clearRect(0, 0, canvas.width, canvas.height);
+        ctx.strokeStyle = 'red';
+        ctx.lineWidth = 2;
+        ctx.strokeRect(
+            Math.min(startPos.x, endPos.x),
+            Math.min(startPos.y, endPos.y),
+            Math.abs(endPos.x - startPos.x),
+            Math.abs(endPos.y - startPos.y)
+        );
+    }, [startPos, endPos]);
+
+    React.useEffect(() => {
+        drawBox();
+    }, [drawBox]);
+
+    const toggleFullScreen = useCallback(() => {
+        if (containerRef.current && screenfull.isEnabled) {
+            screenfull.toggle(containerRef.current);
+        }
+    }, []);
+
+    return (
+        <div className="container-fluid p-4">
+            <h1 className="text-2xl font-bold text-center mb-4">Trash Scanner</h1>
+            <div className="flex flex-col items-center">
+                <Card className="w-full md:w-auto md:max-w-[640px] mb-4">
+                    <CardBody className="p-0">
+                        <div ref={containerRef} className="relative aspect-video">
+                            <Webcam
+                                audio={false}
+                                ref={webcamRef}
+                                screenshotFormat="image/jpeg"
+                                className="w-full h-full object-cover rounded-lg"
+                            />
+                            <canvas
+                                ref={canvasRef}
+                                className="absolute top-0 left-0 w-full h-full rounded-lg"
+                                onMouseDown={handleMouseDown}
+                                onMouseMove={handleMouseMove}
+                                onMouseUp={handleMouseUp}
+                                onMouseLeave={handleMouseUp}
+                            />
+                        </div>
+                    </CardBody>
+                </Card>
+                <Button
+                    onClick={toggleFullScreen}
+                    className="w-full md:w-auto md:max-w-[640px]"
+                >
+                    Toggle Fullscreen
+                </Button>
+            </div>
+        </div>
+    );
+};
+
+export default TrashScanner;
--- a/Project/app/buildings/[buildingid]/trash-scanner/page.tsx
+++ b/Project/app/buildings/[buildingid]/trash-scanner/page.tsx
@@ -0,0 +1,7 @@
+// app/buildings/[buildingid]/trash-scanner/page.tsx
+
+import RealtimeModel from "@/components/trashDetection";
+
+export default function TrashScanner() {
+    return <RealtimeModel />;
+};
--- a/Project/app/buildings/[buildingid]/trash/page.tsx
+++ b/Project/app/buildings/[buildingid]/trash/page.tsx
@@ -0,0 +1,177 @@
+"use client";
+import { useParams } from "next/navigation";
+import { useState } from "react";
+import { Button } from "@nextui-org/button";
+import { Modal, ModalContent, ModalHeader, ModalBody, ModalFooter } from "@nextui-org/modal";
+import { Input } from "@nextui-org/input";
+import { Timestamp } from "firebase/firestore";
+import { Table, TableHeader, TableColumn, TableBody, TableRow, TableCell } from "@nextui-org/table";
+import { Select, SelectItem } from "@nextui-org/react";
+
+import { useBuilding, WasteDataPoint } from "@/lib/useBuildingData";
+import { trashItems } from "@/components/trashcanMode";
+
+export default function TrashPage() {
+    const { buildingid } = useParams();
+    const { data: building, isLoading, error, updateBuilding } = useBuilding(buildingid as string);
+    const [isModalOpen, setIsModalOpen] = useState(false);
+    const [newEntry, setNewEntry] = useState({
+        timestamp: new Date().toISOString().slice(0, 16),
+        type: "",
+        trashcanID: "",
+        wasteCategory: "",
+        emissions: 0,
+    });
+    const [sortConfig, setSortConfig] = useState<{ key: keyof WasteDataPoint; direction: 'ascending' | 'descending' } | null>(null);
+
+    if (isLoading) return <div>Loading...</div>;
+    if (error) return <div>Error: {error.message}</div>;
+    if (!building) return <div>Building not found</div>;
+
+    const handleInputChange = (e: React.ChangeEvent<HTMLInputElement | HTMLSelectElement>) => {
+        const { name, value } = e.target;
+
+        if (name === 'emissions') {
+            const inputValue = parseFloat(value);
+            const scaledValue = isNaN(inputValue) ? 0 : inputValue / 1e+3;
+
+            setNewEntry(prev => ({ ...prev, [name]: scaledValue }));
+        } else {
+            setNewEntry(prev => ({ ...prev, [name]: value }));
+        }
+    };
+
+    const handleSubmit = () => {
+        const updatedWasteGeneration = [
+            ...building!.wasteGeneration,
+            { ...newEntry, timestamp: Timestamp.fromDate(new Date(newEntry.timestamp)), emissions: Number(newEntry.emissions) }
+        ];
+
+        updateBuilding({ wasteGeneration: updatedWasteGeneration as WasteDataPoint[] });
+        setIsModalOpen(false);
+    };
+
+    const handleSort = (key: keyof WasteDataPoint) => {
+        let direction: 'ascending' | 'descending' = 'ascending';
+
+        if (sortConfig && sortConfig.key === key && sortConfig.direction === 'ascending') {
+            direction = 'descending';
+        }
+        setSortConfig({ key, direction });
+    };
+
+    const sortedWasteGeneration = [...building.wasteGeneration].sort((a, b) => {
+        if (!sortConfig) return 0;
+        const { key, direction } = sortConfig;
+
+        if (a[key] < b[key]) return direction === 'ascending' ? -1 : 1;
+        if (a[key] > b[key]) return direction === 'ascending' ? 1 : -1;
+
+        return 0;
+    });
+
+    const handleDelete = (index: number) => {
+        updateBuilding({ operation: 'deleteWasteEntry', index });
+    };
+
+    return (
+        <div className="container mx-auto p-4">
+            <h1 className="text-2xl font-bold mb-4">Waste Data for {building?.name}</h1>
+            <Table aria-label="Waste data table">
+                <TableHeader>
+                    <TableColumn key="timestamp" onClick={() => handleSort('timestamp')}>Timestamp</TableColumn>
+                    <TableColumn key="wasteCategory" onClick={() => handleSort('wasteCategory')}>Name</TableColumn>
+                    <TableColumn key="type" onClick={() => handleSort('type')}>Trash Category</TableColumn>
+                    <TableColumn key="trashcanID" onClick={() => handleSort('trashcanID')}>Trashcan ID</TableColumn>
+                    <TableColumn key="emissions" onClick={() => handleSort('emissions')}>Emissions (kg ofCO2e)</TableColumn>
+                    <TableColumn key="actions">Actions</TableColumn>
+                </TableHeader>
+                <TableBody>
+                    {sortedWasteGeneration.map((wastePoint, index) => (
+                        <TableRow key={index}>
+                            <TableCell>{new Date(wastePoint.timestamp.seconds * 1000).toLocaleString()}</TableCell>
+                            <TableCell>{wastePoint.wasteCategory}</TableCell>
+                            <TableCell>{wastePoint.type}</TableCell>
+                            <TableCell>{wastePoint.trashcanID}</TableCell>
+                            <TableCell>{(wastePoint.emissions * 1e+3).toFixed(0)}</TableCell>
+                            <TableCell>
+                                <Button color="danger" size="sm" onPress={() => handleDelete(index)}>Delete</Button>
+                            </TableCell>
+                        </TableRow>
+                    ))}
+                </TableBody>
+            </Table>
+
+            <Button className="mt-4" onPress={() => setIsModalOpen(true)}>
+                Add New Entry
+            </Button>
+
+            <Modal isOpen={isModalOpen} onClose={() => setIsModalOpen(false)}>
+                <ModalContent>
+                    <ModalHeader>
+                        <h2 className="text-lg font-semibold">Add New Waste Entry</h2>
+                    </ModalHeader>
+                    <ModalBody>
+                        <Input
+                            label="Timestamp"
+                            name="timestamp"
+                            type="datetime-local"
+                            value={newEntry.timestamp}
+                            onChange={handleInputChange}
+                        />
+                        <Select
+                            className="w-full"
+                            label="Type"
+                            name="type"
+                            selectedKeys={[newEntry.type]}
+                            onChange={handleInputChange}
+                        >
+                            {trashItems.map((item) => (
+                                <SelectItem key={item.id} value={item.id}>
+                                    {item.name}
+                                </SelectItem>
+                            ))}
+                        </Select>
+                        <Input
+                            label="Trashcan ID"
+                            name="trashcanID"
+                            value={newEntry.trashcanID}
+                            onChange={handleInputChange}
+                        />
+                        <Select
+                            label="Waste Category"
+                            name="wasteCategory"
+                            selectedKeys={[newEntry.wasteCategory]}
+                            onChange={handleInputChange}
+                        >
+                            <SelectItem key="Landfill" value="Landfill">
+                                Landfill
+                            </SelectItem>
+                            <SelectItem key="Recycling" value="Recycling">
+                                Recycling
+                            </SelectItem>
+                            <SelectItem key="Compost" value="Compost">
+                                Compost
+                            </SelectItem>
+                        </Select>
+                        <Input
+                            label="Emissions (grams of CO2e)"
+                            name="emissions"
+                            type="number"
+                            value={(newEntry.emissions * 1e+3).toString()} // Multiply by 1e+3 for display
+                            onChange={handleInputChange}
+                        />
+                    </ModalBody>
+                    <ModalFooter>
+                        <Button color="danger" variant="light" onPress={() => setIsModalOpen(false)}>
+                            Cancel
+                        </Button>
+                        <Button color="primary" onPress={handleSubmit}>
+                            Add Entry
+                        </Button>
+                    </ModalFooter>
+                </ModalContent>
+            </Modal>
+        </div>
+    );
+}
--- a/Project/app/buildings/[buildingid]/trashcan-mode/page.tsx
+++ b/Project/app/buildings/[buildingid]/trashcan-mode/page.tsx
@@ -0,0 +1,7 @@
+// app/buildings/[buildingid]/trashcan-mode/page.tsx
+
+import TrashcanMode from "@/components/trashcanMode";
+
+export default function TrashcanModePage() {
+    return <TrashcanMode />;
+}
--- a/Project/app/buildings/page.tsx
+++ b/Project/app/buildings/page.tsx
@@ -0,0 +1,61 @@
+// app/buildings/page.tsx
+"use client";
+
+import { Card, CardHeader, CardFooter, Image, Button, Skeleton } from "@nextui-org/react";
+import Link from "next/link";
+
+import { useBuildingList } from "@/lib/useBuildingData";
+
+
+export default function BuildingsPage() {
+    const { data: buildings, isLoading, error } = useBuildingList();
+
+    if (isLoading) return (
+        <div className="grid grid-cols-12 gap-4 p-4">
+            {[...Array(3)].map((_, index) => (
+                <Card key={index} className="w-full h-[300px] col-span-12 sm:col-span-6 md:col-span-4">
+                    <Skeleton className="rounded-lg">
+                        <div className="h-[300px]" />
+                    </Skeleton>
+                </Card>
+            ))}
+        </div>
+    );
+    if (error) return <div>Error: {error.message}</div>;
+
+    if (buildings) return (
+        <div className="grid grid-cols-12 gap-4 p-4 h-full bg-orange-900/5">
+            {buildings.map(building => (
+                <Card
+                    key={building.id}
+                    isFooterBlurred
+                    className="w-full h-[300px] col-span-12 sm:col-span-6 md:col-span-4"
+                >
+                    <CardHeader className="absolute z-10 top-1 flex-col items-start bg-gray-800/5 backdrop-blur-lg rounded-none -mt-1">
+                        <h4 className="text-white font-medium text-2xl">{building.name}</h4>
+                        <p className="text-white/60 text-small">{building.address}</p>
+                    </CardHeader>
+                    <Image
+                        removeWrapper
+                        alt={`${building.name} image`}
+                        className="z-0 w-full h-full object-cover"
+                        src={building.imageURL}
+                    />
+                    <CardFooter className="absolute bg-black/40 bottom-0 z-10 justify-between">
+                        <div>
+                            <p className="text-white text-tiny">Year Built: {building.yearBuilt}</p>
+                            <p className="text-white text-tiny">Square Footage: {building.squareFeet.toLocaleString()}</p>
+                        </div>
+                        <Link href={`/buildings/${building.id}/emissions`}>
+                            <Button className="text-tiny" color="primary" radius="full" size="sm">
+                                View Building
+                            </Button>
+                        </Link>
+                    </CardFooter>
+                </Card>
+            ))}
+        </div>
+    );
+
+    return <div>No buildings found</div>;
+}
--- a/Project/app/error.tsx
+++ b/Project/app/error.tsx
@@ -0,0 +1,31 @@
+"use client";
+
+import { useEffect } from "react";
+
+export default function Error({
+  error,
+  reset,
+}: {
+  error: Error;
+  reset: () => void;
+}) {
+  useEffect(() => {
+    // Log the error to an error reporting service
+    /* eslint-disable no-console */
+    console.error(error);
+  }, [error]);
+
+  return (
+    <div>
+      <h2>Something went wrong!</h2>
+      <button
+        onClick={
+          // Attempt to recover by trying to re-render the segment
+          () => reset()
+        }
+      >
+        Try again
+      </button>
+    </div>
+  );
+}
--- a/Project/app/featureBox.tsx
+++ b/Project/app/featureBox.tsx
@@ -0,0 +1,24 @@
+import React from 'react';
+
+interface FeatureBoxProps {
+    title: string;
+    description: string;
+    theme?: string;
+}
+
+const FeatureBox: React.FC<FeatureBoxProps> = ({ title, description, theme }) => {
+    const isDarkMode = theme === 'dark';
+
+    return (
+        <div className={`p-6 rounded-lg shadow-md ${isDarkMode ? 'bg-gray-800' : 'bg-white'}`}>
+            <h3 className={`text-xl font-bold mb-2 ${isDarkMode ? 'text-white' : 'text-gray-800'}`}>
+                {title}
+            </h3>
+            <p className={isDarkMode ? 'text-gray-300' : 'text-gray-600'}>
+                {description}
+            </p>
+        </div>
+    );
+};
+
+export default FeatureBox;
--- a/Project/app/layout.tsx
+++ b/Project/app/layout.tsx
@@ -0,0 +1,54 @@
+import "@/styles/globals.css";
+import { Metadata, Viewport } from "next";
+import clsx from "clsx";
+
+import { Providers } from "./providers";
+
+import { siteConfig } from "@/config/site";
+import { fontSans } from "@/config/fonts";
+import { Navbar } from "@/components/navbar";
+
+export const metadata: Metadata = {
+  title: {
+    default: siteConfig.name,
+    template: `%s - ${siteConfig.name}`,
+  },
+  description: siteConfig.description,
+  icons: {
+    icon: "/favicon.ico",
+  },
+};
+
+export const viewport: Viewport = {
+  themeColor: [
+    { media: "(prefers-color-scheme: light)", color: "white" },
+    { media: "(prefers-color-scheme: dark)", color: "black" },
+  ],
+};
+
+export default function RootLayout({
+  children,
+}: {
+  children: React.ReactNode;
+}) {
+  return (
+    <html suppressHydrationWarning lang="en">
+      <head />
+      <body
+        className={clsx(
+          "min-h-screen bg-background font-sans antialiased",
+          fontSans.variable,
+        )}
+      >
+        <Providers themeProps={{ attribute: "class", defaultTheme: "light" }}>
+          <div className="flex flex-col min-h-screen">
+            <Navbar />
+            <main className="flex-1">
+              {children}
+            </main>
+          </div>
+        </Providers>
+      </body>
+    </html>
+  );
+}
--- a/Project/app/mission/page.tsx
+++ b/Project/app/mission/page.tsx
@@ -0,0 +1,53 @@
+'use client'
+
+import Image from 'next/image';
+import { Button } from "@nextui-org/react";
+import Link from "next/link";
+export default function MissionPage() {
+    return (
+        <div className="relative min-h-screen bg-orange-900/5">
+            {/* Large "About Us" text at the top */}
+            <div className="absolute top-0 left-0 right-0 z-10 flex justify-center items-center h-40">
+                <h1 className="text-6xl font-bold bg-gradient-to-r from-[#FF705B] to-[#FFB457] text-transparent bg-clip-text drop-shadow-lg">Our Mission</h1>
+            </div>
+
+            <div className="relative min-h-screen">
+                <Image
+                    src="/demo.png"
+                    alt="Demo image"
+                    width={1920}
+                    height={3000}
+                    className="w-full h-auto"
+                />
+                <div className="absolute bottom-0 left-0 right-0 bg-gradient-to-t from-background via-background to-transparent h-80 dark:from-background dark:via-background">
+                    {/* text at the bottom */}
+                    <div className="flex flex-col self-end items-center pb-16">
+                        <p className="mt-40 text-lg text-center max-w-2xl">
+                            One of the most neglected aspects of a building&apos;s carbon footprint is waste mismanagement and poor recycling practices. According to the EPA, landfills account for <span className="bg-gradient-to-r from-[#FF705B] to-[#FFB457] text-transparent bg-clip-text">15% of U.S. methane emissions</span>, with commercial buildings generating over <span className="bg-gradient-to-r from-[#FF705B] to-[#FFB457] text-transparent bg-clip-text">30% of the nation&apos;s total waste</span>.
+                            <br />
+                            <br />
+                            Studies show that up to <span className="bg-gradient-to-r from-[#FF705B] to-[#FFB457] text-transparent bg-clip-text">25% of items</span> in recycling bins are actually non-recyclable, contaminating entire loads. Only 32% of commercial waste is recycled, compared to a potential 75% that could be. Proper recycling can reduce a building&apos;s carbon emissions <span className="bg-gradient-to-r from-[#FF705B] to-[#FFB457] text-transparent bg-clip-text">by up to 40%</span>.
+                            <br />
+                            <br />
+                            <strong>Carbin</strong> uses a machine learning algorithm to identify the type of waste at the trash chute, nudging the occupants to recycle correctly with a friendly reminder. Our long term goal is to <span className="bg-gradient-to-r from-[#FF705B] to-[#FFB457] text-transparent bg-clip-text">educate building occupants</span>, something we know will truly revolutionize waste management, make efficient sorting and recycling the norm, and significantly curtail the carbon impact of our daily operations.
+                        </p>
+                        <Button
+                            as={Link}
+                            href="/buildings"
+                            variant="solid"
+                            size="lg"
+                            endContent={
+                                <svg xmlns="http://www.w3.org/2000/svg" className="h-5 w-5" viewBox="0 0 20 20" fill="currentColor">
+                                    <path fillRule="evenodd" d="M10.293 3.293a1 1 0 011.414 0l6 6a1 1 0 010 1.414l-6 6a1 1 0 01-1.414-1.414L14.586 11H3a1 1 0 110-2h11.586l-4.293-4.293a1 1 0 010-1.414z" clipRule="evenodd" />
+                                </svg>
+                            }
+                            className="mb-2 mt-6 bg-orange-500 text-white"
+                        >
+                            Intrigued? Explore participating buildings
+                        </Button>
+                    </div>
+                </div>
+            </div>
+        </div >
+    );
+}
--- a/Project/app/page.tsx
+++ b/Project/app/page.tsx
@@ -0,0 +1,86 @@
+'use client';
+
+import { Link } from "@nextui-org/link";
+import { button as buttonStyles } from "@nextui-org/theme";
+import { useTheme } from "next-themes";
+
+import { title, subtitle } from "@/components/primitives";
+import FeatureBox from "@/app/featureBox";
+
+export default function Home() {
+  const { theme } = useTheme();
+
+  return (
+    <div className="min-h-screen flex flex-col">
+      <section className="flex-grow flex flex-col items-center justify-center gap-4 py-8 md:py-10 overflow-hidden relative">
+        <div className="absolute inset-0 z-0">
+          <video
+            autoPlay
+            loop
+            muted
+            playsInline
+            className="object-cover w-full h-full"
+          >
+            <source src="/homepage-video.mp4" type="video/mp4" />
+            <a href="https://www.vecteezy.com/free-videos/city-time-lapse-at-night">City Time Lapse At Night Stock Videos by Vecteezy</a>
+          </video>
+          <div className="absolute inset-0 bg-orange-900 opacity-60" />
+        </div>
+        <div className="relative z-10 text-left w-full max-w-4xl px-6">
+          <div className="mb-4">
+            <span className={title({ class: "text-white" })}>
+              Your platform for{" "}
+            </span>
+            <span className={title({ color: "yellow" })}>
+              building
+            </span>
+            <br />
+            <span className={title({ class: "text-white" })}>
+              a sustainable future
+            </span>
+          </div>
+
+          <div className={subtitle({ class: "mt-4 text-gray-200" })}>
+            Encourage <span className="text-orange-400">student participation</span> in responsible waste management with smart bins that guide proper disposal.
+          </div>
+
+          <div className="mt-8">
+            <Link
+              className={buttonStyles({
+                color: "warning",
+                radius: "full",
+                variant: "shadow",
+                size: "lg",
+              })}
+              href="/buildings"
+            >
+              Get Started
+            </Link>
+          </div>
+        </div>
+      </section>
+
+      <div className="w-full bg-white dark:bg-gray-900 py-16">
+        <div className="max-w-4xl mx-auto px-6">
+          <div className="grid grid-cols-1 md:grid-cols-3 gap-8">
+            <FeatureBox
+              title="Smart Bins with Real-time Feedback"
+              description="Utilize our AI-powered smart bins to guide students on proper waste disposal, and get immediate feedback."
+              theme={theme}
+            />
+            <FeatureBox
+              title="Track Waste and Emissions"
+              description="Log your building's trash and monitor emissions over time, giving you insights into your waste management efficiency."
+              theme={theme}
+            />
+            <FeatureBox
+              title="Measure Your Impact"
+              description="Track your building's emissions reduction and see the emissions saved through our smart bin system."
+              theme={theme}
+            />
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}
--- a/Project/app/providers.tsx
+++ b/Project/app/providers.tsx
@@ -0,0 +1,26 @@
+"use client";
+
+import * as React from "react";
+import { NextUIProvider } from "@nextui-org/system";
+import { useRouter } from "next/navigation";
+import { ThemeProvider as NextThemesProvider } from "next-themes";
+import { ThemeProviderProps } from "next-themes/dist/types";
+import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
+
+export interface ProvidersProps {
+    children: React.ReactNode;
+    themeProps?: ThemeProviderProps;
+}
+
+export function Providers({ children, themeProps }: ProvidersProps) {
+    const router = useRouter();
+    const [queryClient] = React.useState(() => new QueryClient());
+
+    return (
+        <QueryClientProvider client={queryClient}>
+            <NextUIProvider navigate={router.push}>
+                <NextThemesProvider {...themeProps}>{children}</NextThemesProvider>
+            </NextUIProvider>
+        </QueryClientProvider>
+    );
+}
--- a/Project/components/addDataButton.tsx
+++ b/Project/components/addDataButton.tsx
@@ -0,0 +1,37 @@
+// components/addDataButton.tsx
+"use client";
+
+import { useState } from "react";
+import { Button } from "@nextui-org/react";
+
+import { PlusIcon } from "./icons";
+import { UploadDataModal } from "./uploadDataModal";
+
+import { useBuilding } from "@/lib/useBuildingData";
+
+interface AddDataButtonProps {
+    buildingid: string;
+}
+
+export default function AddDataButton({ buildingid }: AddDataButtonProps) {
+    const { updateBuilding } = useBuilding(buildingid);
+    const [isModalOpen, setIsModalOpen] = useState(false);
+
+    return (
+        <>
+            <Button
+                className="w-fit"
+                startContent={<PlusIcon size={16} />}
+                onPress={() => setIsModalOpen(true)}
+            >
+                Upload new data
+            </Button>
+            <UploadDataModal
+                buildingid={buildingid}
+                isOpen={isModalOpen}
+                updateBuilding={updateBuilding}
+                onClose={() => setIsModalOpen(false)}
+            />
+        </>
+    );
+}
--- a/Project/components/emissionsGraph.tsx
+++ b/Project/components/emissionsGraph.tsx
@@ -0,0 +1,218 @@
+// components/emissionsGraph.tsx
+
+import React, { useMemo } from 'react';
+
+import { LineChart, Line, AreaChart, Area, PieChart, Pie, Cell, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts';
+
+import { useBuilding, Building, ElectricityDataPoint, NaturalGasDataPoint, WasteDataPoint } from '@/lib/useBuildingData';
+
+export type EmissionGraphFilters = {
+    startDate?: Date | null;
+    endDate?: Date | null;
+    showWaste?: boolean;
+    showElectricity?: boolean;
+    showGas?: boolean;
+}
+
+interface EmissionsGraphProps {
+    buildingid: string;
+    filters: EmissionGraphFilters;
+    graphType: 'line' | 'area' | 'pie';
+}
+
+type ChartDataPoint = {
+    date: string;
+    electricity: number;
+    gas: number;
+    waste: number;
+};
+
+const COLORS = ['#0088FE', '#00C49F', '#FFBB28', '#FF8042', '#8884D8'];
+
+export default function EmissionsGraph({ buildingid, filters, graphType }: EmissionsGraphProps) {
+    const { data: building, isLoading, error } = useBuilding(buildingid);
+
+    const chartData = useMemo(() => {
+        if (!building) return [];
+
+        const dataMap = new Map<string, Partial<ChartDataPoint>>();
+
+        const addDataPoint = (date: Date, type: 'electricity' | 'gas' | 'waste', value: number) => {
+            const dateString = date.toISOString().split('T')[0];
+            const existingData = dataMap.get(dateString) || { date: dateString };
+            existingData[type] = value;
+            dataMap.set(dateString, existingData);
+        };
+
+        // Collect all unique dates and data points
+        const allDates = new Set<string>();
+        const typedDataPoints: { [key: string]: { date: string, value: number }[] } = {
+            electricity: [],
+            gas: [],
+            waste: []
+        };
+
+        if (filters.showElectricity) {
+            building.electricityUsage.forEach((point: ElectricityDataPoint) => {
+                const date = new Date(point.timestamp.seconds * 1000);
+                const dateString = date.toISOString().split('T')[0];
+                allDates.add(dateString);
+                typedDataPoints.electricity.push({ date: dateString, value: point.emissions });
+            });
+        }
+
+        if (filters.showGas) {
+            building.naturalGasUsage.forEach((point: NaturalGasDataPoint) => {
+                const date = new Date(point.timestamp.seconds * 1000);
+                const dateString = date.toISOString().split('T')[0];
+                allDates.add(dateString);
+                typedDataPoints.gas.push({ date: dateString, value: point.emissions });
+            });
+        }
+
+        if (filters.showWaste) {
+            building.wasteGeneration.forEach((point: WasteDataPoint) => {
+                const date = new Date(point.timestamp.seconds * 1000);
+                const dateString = date.toISOString().split('T')[0];
+                allDates.add(dateString);
+                typedDataPoints.waste.push({ date: dateString, value: point.emissions });
+            });
+        }
+
+        // Sort dates and data points
+        const sortedDates = Array.from(allDates).sort();
+        Object.values(typedDataPoints).forEach(points => points.sort((a, b) => a.date.localeCompare(b.date)));
+
+        // Interpolate missing values
+        const interpolateValue = (date: string, points: { date: string, value: number }[]) => {
+            const index = points.findIndex(p => p.date >= date);
+            if (index === -1) return points[points.length - 1]?.value || 0;
+            if (index === 0) return points[0].value;
+            const prev = points[index - 1];
+            const next = points[index];
+            const totalDays = (new Date(next.date).getTime() - new Date(prev.date).getTime()) / (1000 * 60 * 60 * 24);
+            const daysSincePrev = (new Date(date).getTime() - new Date(prev.date).getTime()) / (1000 * 60 * 60 * 24);
+            return Number((prev.value + (next.value - prev.value) * (daysSincePrev / totalDays)).toFixed(3));
+        };
+
+        // Fill in all data points
+        sortedDates.forEach(date => {
+            const point: Partial<ChartDataPoint> = { date };
+            if (filters.showElectricity) point.electricity = interpolateValue(date, typedDataPoints.electricity);
+            if (filters.showGas) point.gas = interpolateValue(date, typedDataPoints.gas);
+            if (filters.showWaste) point.waste = interpolateValue(date, typedDataPoints.waste);
+            dataMap.set(date, point);
+        });
+
+        // Modify the return statement to truncate values
+        return Array.from(dataMap.values())
+            .filter(point => {
+                const date = new Date(point.date || '');
+                return (!filters.startDate || date >= filters.startDate) &&
+                    (!filters.endDate || date <= filters.endDate);
+            })
+            .map(point => ({
+                ...point,
+                electricity: point.electricity ? Number(point.electricity.toFixed(3)) : undefined,
+                gas: point.gas ? Number(point.gas.toFixed(3)) : undefined,
+                waste: point.waste ? Number(point.waste.toFixed(3)) : undefined,
+            }));
+    }, [building, filters]);
+
+    const pieChartData = useMemo(() => {
+        if (!building || !filters.showWaste) return [];
+
+        const wasteTypes = new Map<string, number>();
+
+        building.wasteGeneration.forEach((point: WasteDataPoint) => {
+            const type = point.wasteCategory.toLowerCase();
+            wasteTypes.set(type, (wasteTypes.get(type) || 0) + point.emissions);
+        });
+
+        return Array.from(wasteTypes, ([name, value]) => ({ name, value: Number(value.toFixed(3)) }));
+    }, [building, filters.showWaste]);
+
+    if (isLoading) {
+        return (
+            <div className="w-full h-96 bg-gray-200 animate-pulse rounded-lg">
+                {/* Skeleton content */}
+                <div className="h-full flex items-center justify-center">
+                    <span className="text-gray-400">Loading...</span>
+                </div>
+            </div>
+        );
+    }
+    if (error) return <div>Error: {error.message}</div>;
+
+    const renderLineChart = () => (
+        <LineChart data={chartData}>
+            <CartesianGrid strokeDasharray="3 3" />
+            <XAxis dataKey="date" />
+            <YAxis label={{ value: 'Emissions (metric tons CO2e)', angle: -90, position: 'insideLeft', dy: 96 }} />
+            <Tooltip formatter={(value) => Number(value).toFixed(3)} />
+            <Legend />
+            {filters.showElectricity && building && building.electricityUsage.length > 0 &&
+                <Line type="monotone" dataKey="electricity" stroke="#8884d8" name="Electricity" connectNulls />}
+            {filters.showGas && building && building.naturalGasUsage.length > 0 &&
+                <Line type="monotone" dataKey="gas" stroke="#82ca9d" name="Natural Gas" connectNulls />}
+            {filters.showWaste && building && building.wasteGeneration.length > 0 &&
+                <Line type="monotone" dataKey="waste" stroke="#ffc658" name="Waste" connectNulls />}
+        </LineChart>
+    );
+
+    const renderAreaChart = () => (
+        <AreaChart data={chartData}>
+            <CartesianGrid strokeDasharray="3 3" />
+            <XAxis dataKey="date" />
+            <YAxis label={{ value: 'Emissions (metric tons CO2e)', angle: -90, position: 'insideLeft' }} />
+            <Tooltip formatter={(value) => Number(value).toFixed(3)} />
+            <Legend />
+            {filters.showElectricity && building && building.electricityUsage.length > 0 &&
+                <Area type="monotone" dataKey="electricity" stackId="1" stroke="#8884d8" fill="#8884d8" name="Electricity" connectNulls />}
+            {filters.showGas && building && building.naturalGasUsage.length > 0 &&
+                <Area type="monotone" dataKey="gas" stackId="1" stroke="#82ca9d" fill="#82ca9d" name="Natural Gas" connectNulls />}
+            {filters.showWaste && building && building.wasteGeneration.length > 0 &&
+                <Area type="monotone" dataKey="waste" stackId="1" stroke="#ffc658" fill="#ffc658" name="Waste" connectNulls />}
+        </AreaChart>
+    );
+
+    const renderPieChart = () => (
+        <PieChart>
+            <Pie
+                data={pieChartData}
+                cx="50%"
+                cy="50%"
+                labelLine={false}
+                outerRadius={80}
+                fill="#8884d8"
+                dataKey="value"
+                label={({ name, percent }) => `${name} ${(percent * 100).toFixed(0)}%`}
+            >
+                {pieChartData.map((entry, index) => (
+                    <Cell key={`cell-${index}`} fill={COLORS[index % COLORS.length]} />
+                ))}
+            </Pie>
+            <Tooltip />
+            <Legend />
+        </PieChart>
+    );
+
+    return (
+        <div className="w-full h-96">
+            <ResponsiveContainer width="100%" height="100%">
+                {(() => {
+                    switch (graphType) {
+                        case 'line':
+                            return renderLineChart();
+                        case 'area':
+                            return renderAreaChart();
+                        case 'pie':
+                            return renderPieChart();
+                        default:
+                            return <></>;
+                    }
+                })()}
+            </ResponsiveContainer>
+        </div>
+    );
+}
--- a/Project/components/face.tsx
+++ b/Project/components/face.tsx
@@ -0,0 +1,50 @@
+import React, { useEffect, useState } from "react";
+import { motion } from "framer-motion";
+
+interface FaceProps {
+    bin: string;
+    isVisible: boolean;
+    itemPosition: { x: number; y: number } | null;
+    videoDimensions: { width: number; height: number };
+    facePosition: { x: number; y: number };
+}
+
+const Face: React.FC<FaceProps> = ({ bin, isVisible, itemPosition, videoDimensions, facePosition }) => {
+    // Calculate eye rotation based on item position
+    const [eyeRotation, setEyeRotation] = useState<number>(0);
+
+    useEffect(() => {
+        if (itemPosition && isVisible) {
+            const dx = itemPosition.x - facePosition.x;
+            const dy = itemPosition.y - facePosition.y;
+            const angle = Math.atan2(dy, dx) * (180 / Math.PI);
+
+            setEyeRotation(angle);
+        }
+    }, [itemPosition, isVisible, facePosition]);
+
+    return (
+        <motion.div
+            animate={{ y: isVisible ? 0 : 100 }} // Animate up when visible
+            className="face-container"
+            initial={{ y: 100 }} // Start below the screen
+            transition={{ duration: 0.5 }}
+        >
+            <div className="face">
+                {/* Face SVG or Graphics */}
+                <div className="eyes">
+                    <div
+                        className="eye left-eye"
+                        style={{ transform: `rotate(${eyeRotation}deg)` }}
+                    />
+                    <div
+                        className="eye right-eye"
+                        style={{ transform: `rotate(${eyeRotation}deg)` }}
+                    />
+                </div>
+            </div>
+        </motion.div>
+    );
+};
+
+export default Face;
--- a/Project/components/icons.tsx
+++ b/Project/components/icons.tsx
@@ -0,0 +1,230 @@
+import * as React from "react";
+
+import { IconSvgProps } from "@/types";
+
+export const GithubIcon: React.FC<IconSvgProps> = ({
+    size = 24,
+    width,
+    height,
+    ...props
+}) => {
+    return (
+        <svg
+            height={size || height}
+            viewBox="0 0 24 24"
+            width={size || width}
+            {...props}
+        >
+            <path
+                clipRule="evenodd"
+                d="M12.026 2c-5.509 0-9.974 4.465-9.974 9.974 0 4.406 2.857 8.145 6.821 9.465.499.09.679-.217.679-.481 0-.237-.008-.865-.011-1.696-2.775.602-3.361-1.338-3.361-1.338-.452-1.152-1.107-1.459-1.107-1.459-.905-.619.069-.605.069-.605 1.002.07 1.527 1.028 1.527 1.028.89 1.524 2.336 1.084 2.902.829.091-.645.351-1.085.635-1.334-2.214-.251-4.542-1.107-4.542-4.93 0-1.087.389-1.979 1.024-2.675-.101-.253-.446-1.268.099-2.64 0 0 .837-.269 2.742 1.021a9.582 9.582 0 0 1 2.496-.336 9.554 9.554 0 0 1 2.496.336c1.906-1.291 2.742-1.021 2.742-1.021.545 1.372.203 2.387.099 2.64.64.696 1.024 1.587 1.024 2.675 0 3.833-2.33 4.675-4.552 4.922.355.308.675.916.675 1.846 0 1.334-.012 2.41-.012 2.737 0 .267.178.577.687.479C19.146 20.115 22 16.379 22 11.974 22 6.465 17.535 2 12.026 2z"
+                fill="currentColor"
+                fillRule="evenodd"
+            />
+        </svg>
+    );
+};
+
+export const MoonFilledIcon = ({
+    size = 24,
+    width,
+    height,
+    ...props
+}: IconSvgProps) => (
+    <svg
+        aria-hidden="true"
+        focusable="false"
+        height={size || height}
+        role="presentation"
+        viewBox="0 0 24 24"
+        width={size || width}
+        {...props}
+    >
+        <path
+            d="M21.53 15.93c-.16-.27-.61-.69-1.73-.49a8.46 8.46 0 01-1.88.13 8.409 8.409 0 01-5.91-2.82 8.068 8.068 0 01-1.44-8.66c.44-1.01.13-1.54-.09-1.76s-.77-.55-1.83-.11a10.318 10.318 0 00-6.32 10.21 10.475 10.475 0 007.04 8.99 10 10 0 002.89.55c.16.01.32.02.48.02a10.5 10.5 0 008.47-4.27c.67-.93.49-1.519.32-1.79z"
+            fill="currentColor"
+        />
+    </svg>
+);
+
+export const SunFilledIcon = ({
+    size = 24,
+    width,
+    height,
+    ...props
+}: IconSvgProps) => (
+    <svg
+        aria-hidden="true"
+        focusable="false"
+        height={size || height}
+        role="presentation"
+        viewBox="0 0 24 24"
+        width={size || width}
+        {...props}
+    >
+        <g fill="currentColor">
+            <path d="M19 12a7 7 0 11-7-7 7 7 0 017 7z" />
+            <path d="M12 22.96a.969.969 0 01-1-.96v-.08a1 1 0 012 0 1.038 1.038 0 01-1 1.04zm7.14-2.82a1.024 1.024 0 01-.71-.29l-.13-.13a1 1 0 011.41-1.41l.13.13a1 1 0 010 1.41.984.984 0 01-.7.29zm-14.28 0a1.024 1.024 0 01-.71-.29 1 1 0 010-1.41l.13-.13a1 1 0 011.41 1.41l-.13.13a1 1 0 01-.7.29zM22 13h-.08a1 1 0 010-2 1.038 1.038 0 011.04 1 .969.969 0 01-.96 1zM2.08 13H2a1 1 0 010-2 1.038 1.038 0 011.04 1 .969.969 0 01-.96 1zm16.93-7.01a1.024 1.024 0 01-.71-.29 1 1 0 010-1.41l.13-.13a1 1 0 011.41 1.41l-.13.13a.984.984 0 01-.7.29zm-14.02 0a1.024 1.024 0 01-.71-.29l-.13-.14a1 1 0 011.41-1.41l.13.13a1 1 0 010 1.41.97.97 0 01-.7.3zM12 3.04a.969.969 0 01-1-.96V2a1 1 0 012 0 1.038 1.038 0 01-1 1.04z" />
+        </g>
+    </svg>
+);
+
+export const HeartFilledIcon = ({
+    size = 24,
+    width,
+    height,
+    ...props
+}: IconSvgProps) => (
+    <svg
+        aria-hidden="true"
+        focusable="false"
+        height={size || height}
+        role="presentation"
+        viewBox="0 0 24 24"
+        width={size || width}
+        {...props}
+    >
+        <path
+            d="M12.62 20.81c-.34.12-.9.12-1.24 0C8.48 19.82 2 15.69 2 8.69 2 5.6 4.49 3.1 7.56 3.1c1.82 0 3.43.88 4.44 2.24a5.53 5.53 0 0 1 4.44-2.24C19.51 3.1 22 5.6 22 8.69c0 7-6.48 11.13-9.38 12.12Z"
+            fill="currentColor"
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            strokeWidth={1.5}
+        />
+    </svg>
+);
+
+export const SearchIcon = (props: IconSvgProps) => (
+    <svg
+        aria-hidden="true"
+        fill="none"
+        focusable="false"
+        height="1em"
+        role="presentation"
+        viewBox="0 0 24 24"
+        width="1em"
+        {...props}
+    >
+        <path
+            d="M11.5 21C16.7467 21 21 16.7467 21 11.5C21 6.25329 16.7467 2 11.5 2C6.25329 2 2 6.25329 2 11.5C2 16.7467 6.25329 21 11.5 21Z"
+            stroke="currentColor"
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            strokeWidth="2"
+        />
+        <path
+            d="M22 22L20 20"
+            stroke="currentColor"
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            strokeWidth="2"
+        />
+    </svg>
+);
+
+export const LoadingCircleIcon = ({
+    size = 24,
+    className,
+    ...props
+}: IconSvgProps & { size?: number; className?: string }) => (
+    <svg
+        className={`animate-spin text-current ${className}`}
+        fill="none"
+        height={size}
+        viewBox="0 0 24 24"
+        width={size}
+        xmlns="http://www.w3.org/2000/svg"
+        {...props}
+    >
+        <circle
+            className="opacity-25"
+            cx="12"
+            cy="12"
+            r="10"
+            stroke="currentColor"
+            strokeWidth="4"
+        />
+        <path
+            className="opacity-75"
+            d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"
+            fill="currentColor"
+        />
+    </svg>
+);
+
+export const LeftArrowIcon = ({
+    size = 24,
+    width,
+    height,
+    ...props
+}: IconSvgProps) => (
+    <svg
+        height={size || height}
+        viewBox="0 0 24 24"
+        width={size || width}
+        xmlns="http://www.w3.org/2000/svg"
+        {...props}
+    >
+        <path
+            d="M19 12H5M12 19L5 12L12 5"
+            fill="none"
+            stroke="currentColor"
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            strokeWidth="2"
+        />
+    </svg>
+);
+
+export const SettingsIcon = ({
+    size = 24,
+    width,
+    height,
+    ...props
+}: IconSvgProps) => (
+    <svg
+        fill="currentColor"
+        height={size || height}
+        viewBox="0 0 1024 1024"
+        width={size || width}
+        xmlns="http://www.w3.org/2000/svg"
+        {...props}
+    >
+        <path
+            d="M861.227 511.915a284.16 284.16 0 0 0-2.304-36.95 40.79 40.79 0 0 1 19.072-38.4l47.488-26.752a25.515 25.515 0 0 0 9.685-35.242l-90.07-152.406a26.837 26.837 0 0 0-36.095-9.429l-47.446 26.795a43.384 43.384 0 0 1-43.648-2.987 313.856 313.856 0 0 0-65.109-36.693 41.515 41.515 0 0 1-24.405-35.414v-53.333a26.155 26.155 0 0 0-26.368-25.77H421.845a26.155 26.155 0 0 0-26.325 25.727v53.632a41.515 41.515 0 0 1-24.448 35.584 315.35 315.35 0 0 0-65.067 36.566 43.264 43.264 0 0 1-43.69 2.986l-47.446-26.752a26.795 26.795 0 0 0-36.01 9.472L88.832 374.912a25.557 25.557 0 0 0 9.643 35.243l47.402 26.709c13.142 8.15 20.566 23.04 19.115 38.4a295.424 295.424 0 0 0 0 73.515 40.79 40.79 0 0 1-19.03 38.4l-47.487 26.709a25.515 25.515 0 0 0-9.643 35.2l90.027 152.448a26.88 26.88 0 0 0 36.053 9.515l47.403-26.795c14.037-6.997 30.72-5.888 43.648 2.944a315.596 315.596 0 0 0 65.066 36.523 41.515 41.515 0 0 1 24.491 35.584v53.546a26.197 26.197 0 0 0 26.283 25.814h180.181a26.155 26.155 0 0 0 26.368-25.728v-53.846a41.472 41.472 0 0 1 24.32-35.498 312.15 312.15 0 0 0 65.067-36.608A43.264 43.264 0 0 1 761.472 784l47.488 26.88a26.795 26.795 0 0 0 36.053-9.515l89.942-152.405a25.515 25.515 0 0 0-9.6-35.243l-47.446-26.752a40.79 40.79 0 0 1-19.072-38.4c1.622-12.117 2.39-24.405 2.39-36.693v.043zM511.7 654.25a142.25 142.25 0 1 1 .598-284.459 142.25 142.25 0 0 1-.598 284.459z"
+            fill="currentColor"
+            stroke="currentColor"
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            strokeWidth="0"
+        />
+    </svg>
+);
+
+
+export const PlusIcon = ({
+    size = 24,
+    width,
+    height,
+    ...props
+}: IconSvgProps) => (
+    <svg
+        height={size || height}
+        viewBox="0 0 24 24"
+        width={size || width}
+        xmlns="http://www.w3.org/2000/svg"
+        {...props}
+    >
+        <path
+            d="M12 5V19M5 12H19"
+            fill="none"
+            stroke="currentColor"
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            strokeWidth="2"
+        />
+    </svg>
+);
+
+
+
--- a/Project/components/navbar.tsx
+++ b/Project/components/navbar.tsx
@@ -0,0 +1,80 @@
+// components/navbar.tsx
+"use client";
+
+import {
+    Navbar as NextUINavbar,
+    NavbarContent,
+    NavbarBrand,
+    NavbarItem,
+} from "@nextui-org/navbar";
+import { Button } from "@nextui-org/button";
+import { Link } from "@nextui-org/link";
+import NextLink from "next/link";
+import { usePathname } from 'next/navigation';
+import Image from "next/image";
+
+import { siteConfig } from "@/config/site";
+import { ThemeSwitch } from "@/components/theme-switch";
+import { GithubIcon } from "@/components/icons";
+
+export const Navbar = () => {
+    const pathname = usePathname();
+
+    if (pathname.includes("/buildings/")) {
+        return <></>;
+    }
+
+    return (
+        <NextUINavbar maxWidth="xl" position="sticky">
+            <NavbarContent className="basis-1/5 sm:basis-full" justify="start">
+                <NavbarBrand as="li" className="gap-3">
+                    <NextLink className="flex justify-start items-center" href="/">
+                        <Image
+                            alt="Carbin Logo"
+                            className="h-8 w-8"
+                            height={48}
+                            src="/carbin.png"
+                            width={48}
+                        />
+
+                        <p className="text-2xl font-bold font-baskerville">Carbin</p>
+                    </NextLink>
+                </NavbarBrand>
+            </NavbarContent>
+
+            <NavbarContent className="hidden sm:flex basis-1/5 sm:basis-full" justify="center">
+                <NavbarItem>
+                    <Button
+                        as={NextLink}
+                        href="/buildings"
+                        className="bg-orange-500 text-white min-w-[120px]"
+                    >
+                        Buildings
+                    </Button>
+                </NavbarItem>
+                <NavbarItem>
+                    <Button
+                        as={NextLink}
+                        href="/mission"
+                        className="text-orange-500 min-w-[120px]"
+                        variant="ghost"
+                    >
+                        Our Mission
+                    </Button>
+                </NavbarItem>
+            </NavbarContent>
+
+            <NavbarContent
+                className="hidden sm:flex basis-1/5 sm:basis-full"
+                justify="end"
+            >
+                <NavbarItem className="hidden sm:flex gap-2">
+                    <Link isExternal aria-label="Github" href={siteConfig.links.github}>
+                        <GithubIcon className="text-default-500" />
+                    </Link>
+                    <ThemeSwitch />
+                </NavbarItem>
+            </NavbarContent>
+        </NextUINavbar>
+    );
+};
--- a/Project/components/primitives.ts
+++ b/Project/components/primitives.ts
@@ -0,0 +1,53 @@
+import { tv } from "tailwind-variants";
+
+export const title = tv({
+    base: "tracking-tight inline font-semibold",
+    variants: {
+        color: {
+            violet: "from-[#FF1CF7] to-[#b249f8]",
+            yellow: "from-[#FF705B] to-[#FFB457]",
+            blue: "from-[#5EA2EF] to-[#0072F5]",
+            cyan: "from-[#00b7fa] to-[#01cfea]",
+            green: "from-[#6FEE8D] to-[#17c964]",
+            pink: "from-[#FF72E1] to-[#F54C7A]",
+            foreground: "dark:from-[#FFFFFF] dark:to-[#4B4B4B]",
+        },
+        size: {
+            sm: "text-3xl lg:text-4xl",
+            md: "text-[2.3rem] lg:text-5xl leading-9",
+            lg: "text-4xl lg:text-6xl",
+        },
+        fullWidth: {
+            true: "w-full block",
+        },
+    },
+    defaultVariants: {
+        size: "md",
+    },
+    compoundVariants: [
+        {
+            color: [
+                "violet",
+                "yellow",
+                "blue",
+                "cyan",
+                "green",
+                "pink",
+                "foreground",
+            ],
+            class: "bg-clip-text text-transparent bg-gradient-to-b",
+        },
+    ],
+});
+
+export const subtitle = tv({
+    base: "w-full md:w-1/2 my-2 text-lg lg:text-xl text-default-600 block max-w-full",
+    variants: {
+        fullWidth: {
+            true: "!w-full",
+        },
+    },
+    defaultVariants: {
+        fullWidth: true,
+    },
+});
--- a/Project/components/sidebar.tsx
+++ b/Project/components/sidebar.tsx
@@ -0,0 +1,102 @@
+// app/buildings/[buildingid]/sidebar/sidebar.tsx
+"use client";
+
+import { Link } from "@nextui-org/link";
+import { Avatar } from "@nextui-org/avatar";
+import { useState } from "react";
+import { Button, Skeleton } from "@nextui-org/react";
+import { usePathname } from "next/navigation";
+
+import { ThemeSwitch } from "./theme-switch";
+
+import { useBuilding } from "@/lib/useBuildingData";
+import { GithubIcon, LeftArrowIcon } from "@/components/icons";
+import { siteConfig } from "@/config/site";
+
+
+interface SidebarProps {
+    buildingid: string;
+}
+
+export default function Sidebar({ buildingid }: SidebarProps) {
+    const { data: buildingData, error, isLoading } = useBuilding(buildingid);
+    const [isExpanded, setIsExpanded] = useState(true);
+    const pathname = usePathname();
+
+    if (pathname.includes("trashcan-mode")) {
+        return <></>;
+    }
+
+    return (
+        <div className={`flex flex-col items-center p-4 space-y-4 h-full ${isExpanded ? "w-64" : "w-16"}`}>
+
+            {/* Top section with info about building */}
+            <div className="flex flex-col items-center space-y-4 min-h-64 max-h-64">
+
+                {/* Back to all buildings */}
+                <Link href="/buildings">
+                    <Button startContent={<LeftArrowIcon size={16} />} variant="light">
+                        {"Back to all buildings"}
+                    </Button>
+                </Link>
+
+                {/* Photo of building */}
+                {isLoading ? (
+                    <Skeleton className="w-24 h-24 rounded-full">
+                        <div className="w-24 h-24 rounded-full bg-default-300" />
+                    </Skeleton>
+                ) : error ? (
+                    <div>Error: {error.message}</div>
+                ) : !buildingData ? (
+                    <div>No building found</div>
+                ) : (
+                    <Avatar
+                        alt={buildingData.name}
+                        className="w-24 h-24"
+                        src={buildingData.imageURL}
+                    />
+                )}
+
+                {/* Name of building and settings button*/}
+                {isLoading ? (
+                    <Skeleton className="w-40 h-8 mb-4">
+                        <div className="w-40 h-8 bg-default-300" />
+                    </Skeleton>
+                ) : buildingData ? (
+                    <div className="flex flex-row items-center justify-between">
+                        <h2 className="text-xl font-bold mb-4">{buildingData.name}</h2>
+                    </div>
+                ) : null}
+            </div>
+
+            {/* Middle section with navigation links */}
+            <nav className="flex flex-col space-y-6 h-full">
+                <Link color="primary" href={`/buildings/${buildingid}/emissions`}>
+                    {pathname === `/buildings/${buildingid}/emissions` ? <strong>Emissions</strong> : "Emissions"}
+                </Link>
+                <Link color="primary" href={`/buildings/${buildingid}/trash`}>
+                    {pathname === `/buildings/${buildingid}/trash` ? <strong>Trash Log</strong> : "Trash Log"}
+                </Link>
+                <Link color="primary" href={`/buildings/${buildingid}/trash-scanner`}>
+                    {pathname === `/buildings/${buildingid}/trash-scanner` ? <strong>Trash Scanner</strong> : "Trash Scanner"}
+                </Link>
+                <Link color="primary" href={`/buildings/${buildingid}/trashcan-mode`}>
+                    {pathname === `/buildings/${buildingid}/trashcan-mode` ? <strong>Trashcan Mode</strong> : "Trashcan Mode"}
+                </Link>
+            </nav>
+
+            {/* Bottom section with quick actions */}
+            <div className="flex items-center space-x-2 bg-default-100 rounded-full p-2">
+                <ThemeSwitch />
+                <div className="w-px h-6 bg-divider" /> {/* Vertical divider */}
+                <Link isExternal aria-label="Github" className="p-0" href={siteConfig.links.github}>
+                    <GithubIcon className="text-default-500" />
+                </Link>
+                {/* <div className="w-px h-6 bg-divider" />
+                <Link aria-label="Settings" className="p-0" href={"/settings"}>
+                    <SettingsIcon className="text-default-500" />
+                </Link> */}
+            </div>
+        </div>
+    );
+}
--- a/Project/components/theme-switch.tsx
+++ b/Project/components/theme-switch.tsx
@@ -0,0 +1,81 @@
+"use client";
+
+import { FC } from "react";
+import { VisuallyHidden } from "@react-aria/visually-hidden";
+import { SwitchProps, useSwitch } from "@nextui-org/switch";
+import { useTheme } from "next-themes";
+import { useIsSSR } from "@react-aria/ssr";
+import clsx from "clsx";
+
+import { SunFilledIcon, MoonFilledIcon } from "@/components/icons";
+
+export interface ThemeSwitchProps {
+  className?: string;
+  classNames?: SwitchProps["classNames"];
+}
+
+export const ThemeSwitch: FC<ThemeSwitchProps> = ({
+  className,
+  classNames,
+}) => {
+  const { theme, setTheme } = useTheme();
+  const isSSR = useIsSSR();
+
+  const onChange = () => {
+    theme === "light" ? setTheme("dark") : setTheme("light");
+  };
+
+  const {
+    Component,
+    slots,
+    isSelected,
+    getBaseProps,
+    getInputProps,
+    getWrapperProps,
+  } = useSwitch({
+    isSelected: theme === "light" || isSSR,
+    "aria-label": `Switch to ${theme === "light" || isSSR ? "dark" : "light"} mode`,
+    onChange,
+  });
+
+  return (
+    <Component
+      {...getBaseProps({
+        className: clsx(
+          "px-px transition-opacity hover:opacity-80 cursor-pointer",
+          className,
+          classNames?.base,
+        ),
+      })}
+    >
+      <VisuallyHidden>
+        <input {...getInputProps()} />
+      </VisuallyHidden>
+      <div
+        {...getWrapperProps()}
+        className={slots.wrapper({
+          class: clsx(
+            [
+              "w-auto h-auto",
+              "bg-transparent",
+              "rounded-lg",
+              "flex items-center justify-center",
+              "group-data-[selected=true]:bg-transparent",
+              "!text-default-500",
+              "pt-px",
+              "px-0",
+              "mx-0",
+            ],
+            classNames?.wrapper,
+          ),
+        })}
+      >
+        {!isSelected || isSSR ? (
+          <SunFilledIcon size={22} />
+        ) : (
+          <MoonFilledIcon size={22} />
+        )}
+      </div>
+    </Component>
+  );
+};
--- a/Project/components/trashDetection.tsx
+++ b/Project/components/trashDetection.tsx
@@ -0,0 +1,175 @@
+// trashDetection.tsx
+/* eslint-disable no-console */
+"use client";
+
+import React, { useEffect, useRef, useState, useMemo } from "react";
+import { InferenceEngine, CVImage } from "inferencejs";
+
+function RealtimeModel() {
+    const inferEngine = useMemo(() => new InferenceEngine(), []);
+    const [modelWorkerId, setModelWorkerId] = useState<string | null>(null);
+    const modelWorkerIdRef = useRef<string | null>(null);
+    const [modelLoading, setModelLoading] = useState(false);
+    const [predictions, setPredictions] = useState<any[]>([]);
+    const containerRef = useRef<HTMLDivElement>(null);
+
+    const videoRef = useRef<HTMLVideoElement>(null);
+    const canvasRef = useRef<HTMLCanvasElement>(null);
+
+    // References to manage media stream and timeouts
+    const mediaStreamRef = useRef<MediaStream | null>(null);
+    const detectFrameTimeoutRef = useRef<number | null>(null);
+
+    useEffect(() => {
+        console.log("Component mounted");
+        setModelLoading(true);
+
+        inferEngine
+            .startWorker("trash-detection-kkthk", 7, "rf_1nBQDUSClLUApDgPjG78qMbBH602")
+            .then((id) => {
+                setModelWorkerId(id);
+                modelWorkerIdRef.current = id;
+                startWebcam();
+            })
+            .catch((error) => {
+                console.error("Error starting model worker:", error);
+            });
+
+        // Cleanup function to stop the model worker and webcam when the component unmounts
+        return () => {
+            console.log("Component unmounting, stopping model worker and webcam");
+            if (modelWorkerIdRef.current) {
+                inferEngine.stopWorker(modelWorkerIdRef.current);
+                console.log(`Stopped model worker with ID: ${modelWorkerIdRef.current}`);
+            }
+            stopWebcam();
+            if (detectFrameTimeoutRef.current) {
+                clearTimeout(detectFrameTimeoutRef.current);
+                detectFrameTimeoutRef.current = null;
+                console.log("Cleared detectFrameTimeoutRef");
+            }
+        };
+    }, [inferEngine]);
+
+    const startWebcam = () => {
+        const constraints = {
+            audio: false,
+            video: {
+                facingMode: "environment",
+            },
+        };
+
+        navigator.mediaDevices
+            .getUserMedia(constraints)
+            .then((stream) => {
+                mediaStreamRef.current = stream; // Store the stream reference
+                if (videoRef.current && containerRef.current) {
+                    videoRef.current.srcObject = stream;
+                    videoRef.current.onloadedmetadata = () => {
+                        videoRef.current?.play();
+                    };
+
+                    videoRef.current.onplay = () => {
+                        if (canvasRef.current && videoRef.current && containerRef.current) {
+                            detectFrame();
+                        }
+                    };
+                }
+            })
+            .catch((error) => {
+                console.error("Error accessing webcam:", error);
+            });
+    };
+
+    const stopWebcam = () => {
+        if (mediaStreamRef.current) {
+            console.log("Stopping webcam...");
+            mediaStreamRef.current.getTracks().forEach((track) => {
+                track.stop();
+                console.log(`Stopped track: ${track.kind}`);
+            });
+            mediaStreamRef.current = null;
+        } else {
+            console.log("No media stream to stop.");
+        }
+
+        if (videoRef.current) {
+            videoRef.current.pause();
+            videoRef.current.srcObject = null;
+            console.log("Video paused and srcObject cleared.");
+        }
+    };
+
+    const detectFrame = () => {
+        if (!modelWorkerIdRef.current) {
+            detectFrameTimeoutRef.current = window.setTimeout(detectFrame, 1000 / 3);
+            return;
+        }
+
+        if (videoRef.current && canvasRef.current) {
+            const img = new CVImage(videoRef.current);
+
+            inferEngine.infer(modelWorkerIdRef.current, img).then((newPredictions) => {
+                const ctx = canvasRef.current!.getContext("2d")!;
+
+                // Clear the canvas
+                ctx.clearRect(0, 0, canvasRef.current!.width, canvasRef.current!.height);
+
+                // Get the scaling factors
+                const scaleX = canvasRef.current!.width / (videoRef.current!.videoWidth ?? 1);
+                const scaleY = canvasRef.current!.height / (videoRef.current!.videoHeight ?? 1);
+
+                newPredictions.forEach((prediction: any) => {
+                    const x = (prediction.bbox.x - prediction.bbox.width / 2) * scaleX;
+                    const y = (prediction.bbox.y - prediction.bbox.height / 2) * scaleY;
+                    const width = prediction.bbox.width * scaleX;
+                    const height = prediction.bbox.height * scaleY;
+
+                    // Draw bounding box
+                    ctx.strokeStyle = prediction.color;
+                    ctx.lineWidth = 1;
+                    ctx.strokeRect(x, y, width, height);
+                });
+
+                setPredictions(newPredictions);
+                detectFrameTimeoutRef.current = window.setTimeout(detectFrame, 1000 / 3);
+            }).catch((error) => {
+                console.error("Error during inference:", error);
+            });
+        }
+    };
+
+    return (
+        <div ref={containerRef} className="w-full h-screen relative overflow-hidden">
+            <div className="absolute inset-0">
+                <video
+                    ref={videoRef}
+                    muted
+                    playsInline
+                    className="absolute top-0 left-0 w-full h-full transform scale-x-[-1]"
+                >
+                    <track kind="captions" />
+                </video>
+                <canvas
+                    ref={canvasRef}
+                    className="absolute top-0 left-0 w-full h-full transform scale-x-[-1]"
+                />
+            </div>
+            <div className="absolute bottom-4 left-1/2 transform -translate-x-1/2 w-11/12 max-w-2xl">
+                <div className="bg-black bg-opacity-50 backdrop-filter backdrop-blur-md rounded-xl p-4 text-white text-center">
+                    {predictions.length > 0 ? (
+                        predictions.map((prediction, index) => (
+                            <div key={index} className="text-lg">
+                                {`${prediction.class} - ${Math.round(prediction.confidence * 100)}%`}
+                            </div>
+                        ))
+                    ) : (
+                        <div className="text-lg">No Item Detected</div>
+                    )}
+                </div>
+            </div>
+        </div>
+    );
+}
+
+export default RealtimeModel;
--- a/Project/components/trashcanMode.tsx
+++ b/Project/components/trashcanMode.tsx
@@ -0,0 +1,681 @@
+/* eslint-disable no-console */
+"use client";
+
+import React, { useEffect, useRef, useState, useMemo } from "react";
+import { InferenceEngine, CVImage } from "inferencejs";
+import { motion } from "framer-motion";
+import { Timestamp } from 'firebase/firestore';
+import { useParams } from "next/navigation";
+
+import { useBuilding, WasteDataPoint } from '@/lib/useBuildingData';
+import { Card } from "@nextui-org/react";
+
+export const trashItems = [
+    {
+        id: "Aluminum-Can",
+        name: "Aluminum Can",
+        bin: "Recycling",
+        co2e: 170,
+    },
+    {
+        id: "Aluminum-Foil",
+        name: "Aluminum Foil",
+        bin: "Recycling",
+        note: "Please rinse and flatten",
+        co2e: 10,
+    },
+    {
+        id: "Bio-Plastic-Cup",
+        name: "Bio-Plastic Cup",
+        bin: "Compost",
+        co2e: 70,
+    },
+    {
+        id: "Cardboard",
+        name: "Cardboard",
+        bin: "Recycling",
+        note: "Please flatten all cardboard",
+        co2e: 80,
+    },
+    {
+        id: "Food",
+        name: "Food",
+        bin: "Compost",
+        co2e: 1000,
+    },
+    {
+        id: "Food-Wrapper",
+        name: "Food Wrapper",
+        bin: "Landfill",
+        co2e: 6,
+    },
+    {
+        id: "Paper",
+        name: "Paper",
+        bin: "Recycling",
+        co2e: 8,
+    },
+    {
+        id: "Paper-Cup",
+        name: "Paper Cup",
+        bin: "Recycling",
+        co2e: 11,
+    },
+    {
+        id: "Paper-Plate",
+        name: "Paper Plate",
+        bin: "Compost",
+        co2e: 15,
+    },
+    {
+        id: "Paper-Soft",
+        name: "Soft Paper",
+        bin: "Recycling",
+        co2e: 5,
+    },
+    {
+        id: "Plastic-Bag",
+        name: "Plastic Bag",
+        bin: "Landfill",
+        co2e: 33,
+    },
+    {
+        id: "Plastic-Bottle",
+        name: "Plastic Bottle",
+        bin: "Recycling",
+        note: "Only hard number 1 or 2 bottles",
+        co2e: 82,
+    },
+    {
+        id: "Plastic-Container",
+        name: "Plastic Container",
+        bin: "Recycling",
+        note: "Only hard plastics number 1 or 2",
+        co2e: 100,
+    },
+    {
+        id: "Plastic-Cup",
+        name: "Plastic Cup",
+        bin: "Recycling",
+        note: "Only hard plastics number 1 or 2",
+        co2e: 30,
+    },
+    {
+        id: "Plastic-Utensil",
+        name: "Plastic Utensil",
+        bin: "Landfill",
+        co2e: 8,
+    },
+    {
+        id: "Styrofoam",
+        name: "Styrofoam",
+        bin: "Landfill",
+        co2e: 45,
+    },
+];
+
+interface BBox {
+    x: number;
+    y: number;
+    width: number;
+    height: number;
+}
+
+interface Prediction {
+    class: string;
+    confidence: number;
+    bbox: BBox;
+    color: string;
+}
+
+interface Detection {
+    className: string;
+    lastSeen: number;
+    framesSeen: number;
+    bbox: BBox;
+    isActive: boolean;
+}
+
+function TrashcanMode() {
+    // Initialize the inference engine and state variables
+    const inferEngine = useMemo(() => new InferenceEngine(), []);
+    const [modelWorkerId, setModelWorkerId] = useState<string | null>(null);
+    const [modelLoading, setModelLoading] = useState(false);
+    const [currentItem, setCurrentItem] = useState<any | null>(null); // Current detected item
+    const [thrownItems, setThrownItems] = useState<string[]>([]); // List of items estimated to be thrown away
+    const [showCelebration, setShowCelebration] = useState(false); // State to trigger celebration
+    const [showCamera, setShowCamera] = useState(false); // Default to false as per your preference
+    const [isHovering, setIsHovering] = useState(false); // State to detect hover over the switch area
+
+    // state variables for ripple effect
+    const [rippleActive, setRippleActive] = useState(false);
+    const [rippleColor, setRippleColor] = useState<string>('');
+    const [ripplePosition, setRipplePosition] = useState<{ x: string; y: string }>({ x: '50%', y: '50%' });
+
+    // References to DOM elements
+    const videoRef = useRef<HTMLVideoElement>(null);
+    const canvasRef = useRef<HTMLCanvasElement>(null);
+    const containerRef = useRef<HTMLDivElement>(null);
+
+    // Tracking detections over time
+    const detectionsRef = useRef<{ [className: string]: Detection }>({}); // Ref to store detection history
+
+    // Introduce a ref to keep track of the last active item and its timestamp
+    const lastActiveItemRef = useRef<{ itemDetails: any | null; timestamp: number }>({
+        itemDetails: null,
+        timestamp: 0,
+    });
+
+    // Inside the component, get the building data
+    const { buildingid } = useParams();
+    const { data: building, isLoading, error, updateBuilding } = useBuilding(buildingid as string);
+
+    // Helper function to get bin emoji
+    const getBinEmoji = (bin: string) => {
+        switch (bin) {
+            case "Recycling":
+                return "♻️";
+            case "Compost":
+                return "🌿";
+            case "Landfill":
+                return "🗑️";
+            default:
+                return "";
+        }
+    };
+
+    // Helper function to get item emoji
+    const getItemEmoji = (itemId: string) => {
+        switch (itemId) {
+            case "Aluminum-Can":
+                return "🥫";
+            case "Aluminum-Foil":
+                return "🥄";
+            case "Bio-Plastic-Cup":
+                return "🥤";
+            case "Cardboard":
+                return "📦";
+            case "Food":
+                return "🍎";
+            case "Food-Wrapper":
+                return "🍬";
+            case "Paper":
+                return "📄";
+            case "Paper-Cup":
+                return "☕";
+            case "Paper-Plate":
+                return "🍽️";
+            case "Paper-Soft":
+                return "📃";
+            case "Plastic-Bag":
+                return "🛍️";
+            case "Plastic-Bottle":
+                return "🍼";
+            case "Plastic-Container":
+                return "🍱";
+            case "Plastic-Cup":
+                return "🥛";
+            case "Plastic-Utensil":
+                return "🍴";
+            case "Styrofoam":
+                return "📦";
+            default:
+                return "";
+        }
+    };
+
+    // helper function for ripple start position
+    const getBinRippleStartPosition = (bin: string) => {
+        switch (bin) {
+            case "Recycling":
+                return { x: '100%', y: '100%' }; // Bottom-right corner
+            case "Compost":
+                return { x: '50%', y: '100%' }; // Bottom-center
+            case "Landfill":
+                return { x: '0%', y: '100%' }; // Bottom-left corner
+            default:
+                return { x: '50%', y: '50%' }; // Center
+        }
+    };
+
+    // Effect to start the model worker
+    useEffect(() => {
+        if (!modelLoading) {
+            setModelLoading(true);
+            inferEngine
+                .startWorker("trash-detection-kkthk", 7, "rf_1nBQDUSClLUApDgPjG78qMbBH602")
+                .then((id) => setModelWorkerId(id))
+                .catch((error) => {
+                    console.error("Error starting model worker:", error);
+                });
+        }
+    }, [inferEngine, modelLoading]);
+
+    // Effect to start the webcam when the model worker is ready
+    useEffect(() => {
+        if (modelWorkerId) {
+            startWebcam();
+        }
+    }, [modelWorkerId]);
+
+    // Function to initialize and start the webcam
+    const startWebcam = () => {
+        const constraints = {
+            audio: false,
+            video: {
+                width: { ideal: 640 },
+                height: { ideal: 480 },
+                facingMode: "environment",
+            },
+        };
+
+        navigator.mediaDevices
+            .getUserMedia(constraints)
+            .then((stream) => {
+                if (videoRef.current) {
+                    videoRef.current.srcObject = stream;
+                    videoRef.current.onloadedmetadata = () => {
+                        videoRef.current?.play();
+                    };
+
+                    videoRef.current.onplay = () => {
+                        detectFrame();
+                    };
+                }
+            })
+            .catch((error) => {
+                console.error("Error accessing webcam:", error);
+            });
+    };
+
+    // Function to detect objects in each video frame
+    const detectFrame = () => {
+        if (!modelWorkerId || !videoRef.current) {
+            setTimeout(detectFrame, 1000 / 3);
+
+            return;
+        }
+
+        const img = new CVImage(videoRef.current);
+
+        inferEngine.infer(modelWorkerId, img).then((predictions: unknown) => {
+            const typedPredictions = predictions as Prediction[];
+
+            const videoWidth = videoRef.current?.videoWidth ?? 640;
+            const videoHeight = videoRef.current?.videoHeight ?? 480;
+
+            const now = Date.now();
+
+            // Filter predictions above confidence threshold
+            const validPredictions = typedPredictions.filter((pred) => pred.confidence >= 0.2);
+
+            if (showCamera && canvasRef.current) {
+                const ctx = canvasRef.current.getContext("2d")!;
+                const canvasWidth = canvasRef.current.width;
+                const canvasHeight = canvasRef.current.height;
+
+                // Clear the canvas
+                ctx.clearRect(0, 0, canvasWidth, canvasHeight);
+
+                // Draw trash can regions
+                drawTrashcanRegions(ctx, videoWidth, videoHeight, canvasWidth, canvasHeight);
+
+                // Get scaling factors
+                const scaleX = canvasWidth / (videoWidth ?? 1);
+                const scaleY = canvasHeight / (videoHeight ?? 1);
+
+                validPredictions.forEach((pred: Prediction) => {
+                    // Draw bounding box and center point
+                    drawBoundingBox(ctx, pred, scaleX, scaleY);
+                });
+            }
+
+            validPredictions.forEach((pred: Prediction) => {
+                const className = pred.class;
+                const bbox = pred.bbox;
+
+                // Initialize tracking for this class if not present
+                if (!detectionsRef.current[className]) {
+                    detectionsRef.current[className] = {
+                        className: className,
+                        lastSeen: now,
+                        framesSeen: 1,
+                        bbox: bbox,
+                        isActive: false,
+                    };
+                } else {
+                    // Update tracking info
+                    const detection = detectionsRef.current[className];
+
+                    detection.lastSeen = now;
+                    detection.framesSeen += 1;
+                    detection.bbox = bbox;
+
+                    // Mark as active if seen consistently over 3 frames
+                    if (detection.framesSeen >= 3 && !detection.isActive) {
+                        detection.isActive = true;
+                    }
+                }
+            });
+
+            // Remove stale detections and check if any active detections are present
+            let activeDetections = Object.values(detectionsRef.current).filter((detection) => {
+                const timeSinceLastSeen = now - detection.lastSeen;
+
+                if (timeSinceLastSeen > 1000) {
+                    // Remove stale detections
+                    if (detection.isActive) {
+                        // Determine if last known position was near the correct trashcan area
+                        const itemDetails = trashItems.find((item) => item.id === detection.className);
+
+                        if (itemDetails) {
+                            const isNearCorrectTrashcan = checkIfNearTrashcanArea(
+                                detection.bbox,
+                                itemDetails.bin,
+                                videoWidth,
+                                videoHeight
+                            );
+
+                            if (isNearCorrectTrashcan) {
+                                // Item was likely thrown away in the correct bin
+                                setThrownItems((prevItems) => [...prevItems, detection.className]);
+                                setShowCelebration(true); // Trigger celebration
+                                setTimeout(() => setShowCelebration(false), 3000); // Stop celebration after 3 seconds
+
+                                // Trigger the ripple effect
+                                setRippleColor(getBinColor(itemDetails.bin));
+                                setRipplePosition(getBinRippleStartPosition(itemDetails.bin));
+                                setRippleActive(true);
+                                setTimeout(() => setRippleActive(false), 3000); // Ripple lasts 3 seconds
+
+                                const adjustedEmissions = itemDetails.co2e / 1e+3; // Convert kg to tons
+                                const newWasteDataPoint: WasteDataPoint = {
+                                    timestamp: Timestamp.now(),
+                                    type: itemDetails.id,
+                                    trashcanID: '1', // Use trashcan ID 1
+                                    wasteCategory: itemDetails.bin,
+                                    emissions: adjustedEmissions,
+                                };
+
+                                // Update the building's waste generation data
+                                const updatedWasteGeneration = [
+                                    ...(building?.wasteGeneration || []),
+                                    newWasteDataPoint,
+                                ];
+
+                                updateBuilding({ wasteGeneration: updatedWasteGeneration });
+                            } else {
+                                // Incorrect bin, do not trigger celebration
+                                setCurrentItem(null);
+                            }
+                        }
+                    }
+                    delete detectionsRef.current[detection.className];
+
+                    return false;
+                }
+
+                return detection.isActive;
+            });
+
+            // Update the current item for display based on active detections
+            if (activeDetections.length > 0) {
+                // Find the most recently seen active detection
+                activeDetections.sort((a, b) => b.lastSeen - a.lastSeen);
+                const mostRecentDetection = activeDetections[0];
+                const itemDetails = trashItems.find((item) => item.id === mostRecentDetection.className);
+
+                // Update last active item reference
+                lastActiveItemRef.current = { itemDetails, timestamp: now };
+                setCurrentItem(itemDetails);
+            } else {
+                // If no active detections, retain the last item for a short duration
+                if (now - lastActiveItemRef.current.timestamp < 1000) {
+                    setCurrentItem(lastActiveItemRef.current.itemDetails);
+                } else {
+                    setCurrentItem(null);
+                    lastActiveItemRef.current = { itemDetails: null, timestamp: 0 };
+                }
+            }
+
+            setTimeout(detectFrame, 1000 / 3);
+        });
+    };
+
+    // Helper function to draw bounding box and center point
+    const drawBoundingBox = (ctx: CanvasRenderingContext2D, prediction: Prediction, scaleX: number, scaleY: number) => {
+        const x = (prediction.bbox.x - prediction.bbox.width / 2) * scaleX;
+        const y = (prediction.bbox.y - prediction.bbox.height / 2) * scaleY;
+        const width = prediction.bbox.width * scaleX;
+        const height = prediction.bbox.height * scaleY;
+
+        // Draw bounding box
+        ctx.strokeStyle = prediction.color || "#FF0000";
+        ctx.lineWidth = 2;
+        ctx.strokeRect(x, y, width, height);
+
+        // Draw center point
+        ctx.fillStyle = prediction.color || "#FF0000";
+        ctx.beginPath();
+        ctx.arc(x + width / 2, y + height / 2, 5, 0, 2 * Math.PI);
+        ctx.fill();
+    };
+
+    // Helper function to draw trashcan regions
+    const drawTrashcanRegions = (
+        ctx: CanvasRenderingContext2D,
+        videoWidth: number,
+        videoHeight: number,
+        canvasWidth: number,
+        canvasHeight: number
+    ) => {
+        const trashcanAreas = getTrashcanAreas(videoWidth, videoHeight);
+
+        const scaleX = canvasWidth / (videoWidth ?? 1);
+        const scaleY = canvasHeight / (videoHeight ?? 1);
+
+        Object.entries(trashcanAreas).forEach(([bin, area]) => {
+            const x = area.x * scaleX;
+            const y = area.y * scaleY;
+            const width = area.width * scaleX;
+            const height = area.height * scaleY;
+
+            ctx.strokeStyle = getBinColor(bin);
+            ctx.lineWidth = 2;
+            ctx.strokeRect(x, y, width, height);
+
+            // Optionally, fill the area with transparent color
+            ctx.fillStyle = getBinColor(bin) + "33"; // Add transparency
+            ctx.fillRect(x, y, width, height);
+        });
+    };
+
+    // Helper function to check if the bounding box is near the correct trashcan area
+    const checkIfNearTrashcanArea = (
+        bbox: BBox,
+        correctBin: string,
+        videoWidth: number,
+        videoHeight: number
+    ): boolean => {
+        const centerX = bbox.x;
+        const centerY = bbox.y;
+
+        // Define areas for each trashcan
+        const trashcanAreas = getTrashcanAreas(videoWidth, videoHeight);
+
+        // Check if the center point is within any trashcan area
+        for (const [bin, area] of Object.entries(trashcanAreas)) {
+            if (
+                centerX >= area.x &&
+                centerX <= area.x + area.width &&
+                centerY >= area.y &&
+                centerY <= area.y + area.height
+            ) {
+                const isCorrect = bin === correctBin;
+
+                return isCorrect;
+            }
+        }
+
+        // If not near any bin
+        return false;
+    };
+
+    // Helper function to define trashcan areas
+    const getTrashcanAreas = (videoWidth: number, videoHeight: number) => {
+        const areaWidth = (videoWidth * 2) / 5; // 2/5 of the screen width
+        const areaHeight = videoHeight / 2; // 1/2 of the screen height
+
+        return {
+            Recycling: {
+                x: 0,
+                y: videoHeight / 2,
+                width: areaWidth,
+                height: areaHeight,
+            },
+            Compost: {
+                x: (videoWidth - areaWidth) / 2,
+                y: videoHeight / 2,
+                width: areaWidth,
+                height: areaHeight,
+            },
+            Landfill: {
+                x: videoWidth - areaWidth,
+                y: videoHeight / 2,
+                width: areaWidth,
+                height: areaHeight,
+            },
+        };
+    };
+
+    // Helper function to get bin color
+    const getBinColor = (bin: string) => {
+        switch (bin) {
+            case "Recycling":
+                return "#00aaff"; // Blue
+            case "Compost":
+                return "#33cc33"; // Green
+            case "Landfill":
+                return "#aaaaaa"; // Gray
+            default:
+                return "#ffffff"; // White
+        }
+    };
+
+    // Helper function to get arrow symbol
+    const getArrow = (bin: string) => {
+        switch (bin) {
+            case "Recycling":
+                return "→"; // Right arrow
+            case "Compost":
+                return "↓"; // Down arrow
+            case "Landfill":
+                return "←"; // Left arrow
+            default:
+                return "";
+        }
+    };
+
+    // Render the component
+    return (
+        <div
+            ref={containerRef}
+            className="w-full h-screen relative overflow-hidden bg-gradient-to-b from-gray-50 to-gray-100 dark:from-gray-800 dark:to-gray-900"
+        >
+            {/* Hidden video element for capturing webcam feed */}
+            <video ref={videoRef} muted playsInline className="hidden">
+                <track kind="captions" />
+            </video>
+
+            {/* Video and canvas elements for display */}
+            {showCamera && (
+                <div className="absolute inset-0">
+                    <video
+                        ref={videoRef}
+                        muted
+                        playsInline
+                        className="absolute top-0 left-0 w-full h-full object-cover opacity-30"
+                        style={{ transform: "scaleX(-1)" }}
+                    >
+                        <track kind="captions" />
+                    </video>
+                    <canvas
+                        ref={canvasRef}
+                        className="absolute top-0 left-0 w-full h-full object-cover pointer-events-none"
+                        style={{ transform: "scaleX(-1)" }}
+                    />
+                </div>
+            )}
+
+            {/* Ripple Effect Overlay */}
+            {rippleActive && (
+                <div
+                    className="ripple-effect"
+                    style={{
+                        backgroundColor: rippleColor,
+                        left: ripplePosition.x,
+                        top: ripplePosition.y,
+                    }}
+                />
+            )}
+
+            {/* Main content */}
+            <div className="relative z-10 flex flex-col justify-center items-center w-full h-full p-8">
+                {showCelebration ? (
+                    <motion.div
+                        className="flex flex-col items-center"
+                        initial={{ scale: 0 }}
+                        animate={{ scale: 1 }}
+                        transition={{ duration: 0.5, type: "spring", stiffness: 100 }}
+                    >
+                        <span aria-label="Check Mark" className="text-9xl mb-4" role="img">
+                            ✅
+                        </span>
+                        <h2 className="text-4xl font-bold text-green-600 dark:text-green-400">
+                            Great job!
+                        </h2>
+                    </motion.div>
+                ) : currentItem ? (
+                    <Card className="w-full max-w-2xl p-8 bg-white dark:bg-gray-800 shadow-lg">
+                        <h1 className="text-5xl font-bold text-center mb-8 text-gray-800 dark:text-gray-200">
+                            {getBinEmoji(currentItem.bin)} {currentItem.bin} {getArrow(currentItem.bin)}
+                        </h1>
+                        <h2 className="text-3xl text-center mb-4 text-gray-700 dark:text-gray-300">
+                            {getItemEmoji(currentItem.id)} {currentItem.name}
+                        </h2>
+                        {currentItem.note && (
+                            <p className="text-xl text-center text-gray-600 dark:text-gray-400">
+                                {currentItem.note}
+                            </p>
+                        )}
+                    </Card>
+                ) : (
+                    <Card className="w-full max-w-2xl p-8 bg-white dark:bg-gray-800 shadow-lg">
+                        <h1 className="text-4xl font-bold text-center mb-8 text-gray-800 dark:text-gray-200">
+                            No Item Detected
+                        </h1>
+                        {thrownItems.length > 0 && (
+                            <div className="text-center">
+                                <h2 className="text-xl font-semibold mb-2 text-gray-700 dark:text-gray-300">
+                                    Recently Thrown Items:
+                                </h2>
+                                <p className="text-lg text-gray-600 dark:text-gray-400">
+                                    {Object.entries(
+                                        thrownItems.slice(-5).reduce((acc, item) => {
+                                            acc[item] = (acc[item] || 0) + 1;
+                                            return acc;
+                                        }, {} as Record<string, number>)
+                                    )
+                                        .map(([item, count]) => (count > 1 ? `${item} (${count}x)` : item))
+                                        .join(", ")}
+                                </p>
+                            </div>
+                        )}
+                    </Card>
+                )}
+            </div>
+        </div>
+    );
+}
+
+export default TrashcanMode;
--- a/Project/components/uploadDataModal.tsx
+++ b/Project/components/uploadDataModal.tsx
@@ -0,0 +1,415 @@
+// components/uploadDataModal.tsx
+
+import { useState, useEffect } from "react";
+import { Button, Modal, ModalContent, ModalHeader, ModalBody, ModalFooter } from "@nextui-org/react";
+import { Accordion, AccordionItem } from "@nextui-org/react";
+import { AzureKeyCredential, DocumentAnalysisClient } from "@azure/ai-form-recognizer";
+import { useRouter } from 'next/navigation';
+
+import { ElectricityDataPoint, NaturalGasDataPoint } from "../lib/useBuildingData";
+
+interface UploadDataModalProps {
+    isOpen: boolean;
+    onClose: () => void;
+    buildingid: string;
+    updateBuilding: (newData: any) => void;
+}
+
+const EMISSIONS_FACTOR = 0.5;
+const key = process.env.NEXT_PUBLIC_FORM_RECOGNIZER_KEY;
+const endpoint = process.env.NEXT_PUBLIC_FORM_RECOGNIZER_ENDPOINT;
+
+export function UploadDataModal({ isOpen, onClose, buildingid, updateBuilding }: UploadDataModalProps) {
+    const [isSubmitted, setIsSubmitted] = useState(false);
+    const [gasFile, setGasFile] = useState<File | null>(null);
+    const [electricityFile, setElectricityFile] = useState<File | null>(null);
+    const [gasFileUrl, setGasFileUrl] = useState<string | null>(null);
+    const [electricityFileUrl, setElectricityFileUrl] = useState<string | null>(null);
+    const [extractionStatus, setExtractionStatus] = useState<'idle' | 'loading' | 'complete'>('idle');
+    const [aiExtractionStatus, setAiExtractionStatus] = useState<'idle' | 'loading' | 'complete'>('idle');
+    const [dataPreview, setDataPreview] = useState<any>(null);
+    const router = useRouter();
+
+    const handleFileUpload = (type: 'gas' | 'electricity', file: File) => {
+        if (type === 'gas') {
+            setGasFile(file);
+            setGasFileUrl(URL.createObjectURL(file));
+        } else if (type === 'electricity') {
+            setElectricityFile(file);
+            setElectricityFileUrl(URL.createObjectURL(file));
+        }
+        setIsSubmitted(true);
+    };
+
+    useEffect(() => {
+        return () => {
+            if (gasFileUrl) URL.revokeObjectURL(gasFileUrl);
+            if (electricityFileUrl) URL.revokeObjectURL(electricityFileUrl);
+        };
+    }, [gasFileUrl, electricityFileUrl]);
+
+    const extractDataFromPDF = async (file: File, type: 'gas' | 'electricity') => {
+        const client = new DocumentAnalysisClient(endpoint!, new AzureKeyCredential(key!));
+
+        const arrayBuffer = await file.arrayBuffer();
+        const poller = await client.beginAnalyzeDocument("prebuilt-document", arrayBuffer);
+        const { keyValuePairs } = await poller.pollUntilDone();
+
+        if (!keyValuePairs) return [];
+
+        const dataPoints: (ElectricityDataPoint | NaturalGasDataPoint)[] = [];
+        let extractedDate: Date | null = null;
+
+        const monthMap: { [key: string]: number } = {
+            'jan': 0, 'january': 0, 'feb': 1, 'february': 1, 'mar': 2, 'march': 2,
+            'apr': 3, 'april': 3, 'may': 4, 'jun': 5, 'june': 5, 'jul': 6, 'july': 6,
+            'aug': 7, 'august': 7, 'sep': 8, 'september': 8, 'oct': 9, 'october': 9,
+            'nov': 10, 'november': 10, 'dec': 11, 'december': 11
+        };
+
+        for (const { key, value } of keyValuePairs) {
+            console.log("KEY:", key.content, "VALUE:", value?.content);
+            if (!value) continue;
+
+            const keyLower = key.content.toLowerCase();
+            const valueLower = value.content.toLowerCase();
+
+            // Extract date information
+            if (keyLower.includes('date') || keyLower.includes('period')) {
+                console.log("DATE IDENTIFIED:", valueLower);
+                const dateMatch = valueLower.match(/(\d{1,2})\s*(?:st|nd|rd|th)?\s*(?:of)?\s*([a-z]+)?\s*(\d{4})?/i);
+
+                console.log("DATE MATCH:", dateMatch);
+
+                if (dateMatch) {
+                    const day = 1; // Always assume 1st of the month
+                    const month = dateMatch[2] ? monthMap[dateMatch[2].toLowerCase()] : new Date().getMonth();
+                    const year = dateMatch[3] ? parseInt(dateMatch[3]) : new Date().getFullYear();
+
+                    if (year >= 1900 && year <= 2100) {
+                        extractedDate = new Date(year, month, day);
+                    }
+                }
+            }
+
+            if (type === 'electricity' && keyLower.includes('kwh')) {
+                const kwh = parseFloat(value.content || '0');
+
+                if (kwh !== 0) {
+                    const timestamp = extractedDate || new Date();
+
+                    timestamp.setHours(0, 0, 0, 0); // Set to midnight
+
+                    const existingDataIndex = dataPoints.findIndex(point =>
+                        point.timestamp.seconds === timestamp.getTime() / 1000
+                    );
+
+                    if (existingDataIndex === -1) {
+                        dataPoints.push({
+                            timestamp: { seconds: timestamp.getTime() / 1000, nanoseconds: 0 },
+                            kwh: kwh,
+                            emissions: kwh * EMISSIONS_FACTOR / 1000,
+                        });
+                    } else {
+                        dataPoints[existingDataIndex] = {
+                            ...dataPoints[existingDataIndex],
+                            kwh: kwh,
+                            emissions: kwh * EMISSIONS_FACTOR / 1000,
+                        };
+                    }
+                }
+            } else if (type === 'gas' && keyLower.includes('therm')) {
+                const therms = parseFloat(value.content || '0');
+
+                if (therms !== 0) {
+                    const timestamp = extractedDate || new Date();
+
+                    timestamp.setHours(0, 0, 0, 0); // Set to midnight
+
+                    const existingDataIndex = dataPoints.findIndex(point =>
+                        point.timestamp.seconds === timestamp.getTime() / 1000
+                    );
+
+                    if (existingDataIndex === -1) {
+                        dataPoints.push({
+                            timestamp: { seconds: timestamp.getTime() / 1000, nanoseconds: 0 },
+                            therms: therms,
+                            emissions: therms * 5.3 / 1000, // approx CO2 emissions for natural gas (5.3 kg CO2 per therm, measured in tons)
+                        });
+                    } else {
+                        dataPoints[existingDataIndex] = {
+                            ...dataPoints[existingDataIndex],
+                            therms: therms,
+                            emissions: therms * 5.3 / 1000,
+                        };
+                    }
+                }
+            }
+        }
+
+        return dataPoints;
+    };
+
+    const handleExtraction = async () => {
+        setExtractionStatus('loading');
+        try {
+            let newData: any = {};
+
+            if (gasFile) {
+                const gasData = await extractDataFromPDF(gasFile, 'gas');
+
+                console.log("Gas data:");
+                gasData.forEach(dataPoint => {
+                    console.log("Date:", new Date(dataPoint.timestamp.seconds * 1000).toLocaleDateString(), "Therms:", (dataPoint as NaturalGasDataPoint).therms);
+                });
+                newData.naturalGasUsage = gasData;
+            }
+
+            if (electricityFile) {
+                const electricityData = await extractDataFromPDF(electricityFile, 'electricity');
+
+                console.log("Electricity data:");
+                electricityData.forEach(dataPoint => {
+                    console.log("Date:", new Date(dataPoint.timestamp.seconds * 1000).toLocaleDateString(), "kWh:", (dataPoint as ElectricityDataPoint).kwh);
+                });
+                newData.electricityUsage = electricityData;
+            }
+
+            setDataPreview(newData);
+            setExtractionStatus('complete');
+
+            // Update the building data
+            updateBuilding(newData);
+        } catch (error) {
+            console.error("Error during extraction:", error);
+            setExtractionStatus('idle');
+        }
+    };
+
+    const handleAIExtraction = async () => {
+        setAiExtractionStatus('loading');
+        try {
+            let newData: any = {};
+
+            if (gasFile) {
+                const gasData = await extractDataUsingAI(gasFile, 'gas');
+                newData.naturalGasUsage = gasData;
+            }
+
+            if (electricityFile) {
+                const electricityData = await extractDataUsingAI(electricityFile, 'electricity');
+                newData.electricityUsage = electricityData;
+            }
+
+            setDataPreview(newData);
+            setAiExtractionStatus('complete');
+
+            // Update the building data
+            updateBuilding(newData);
+        } catch (error) {
+            console.error("Error during AI extraction:", error);
+            setAiExtractionStatus('idle');
+        }
+    };
+
+    const extractDataUsingAI = async (file: File, type: 'gas' | 'electricity') => {
+        // Step 1: Convert PDF to image
+        const formData = new FormData();
+
+        formData.append('pdf', file, file.name);
+        formData.append('type', type);
+
+        const pdfToImageResponse = await fetch('/api/pdf-to-image', {
+            method: 'POST',
+            body: formData,
+        });
+
+        if (!pdfToImageResponse.ok) {
+            throw new Error('Failed to convert PDF to image');
+        }
+
+        const { response } = await pdfToImageResponse.json();
+        console.log("PDF TO IMAGE RESPONSE", response);
+
+        // Parse the JSON response
+        const parsedData: string = response.response;
+
+        //Trim the string to remove the "anything before first {" and "and after last }"
+        const trimmedData = parsedData.replace(/^[^{]*|[^}]*$/g, '');
+
+        const parsedTrimmedData = JSON.parse(trimmedData);
+        console.log("PARSED TRIMMED DATA", parsedTrimmedData);
+
+        // Convert the parsed data to the format expected by the application
+        return parsedTrimmedData.dataPoints.map((point: any) => ({
+            timestamp: {
+                seconds: new Date(point.date).getTime() / 1000,
+                nanoseconds: 0
+            },
+            [type === 'gas' ? 'therms' : 'kwh']: point.usage,
+            emissions: point.usage * (type === 'gas' ? 5.3 : EMISSIONS_FACTOR) / 1000,
+        }));
+    };
+
+    return (
+        <Modal backdrop="blur" isOpen={isOpen} size="xl" onClose={onClose}>
+            <ModalContent>
+                {!isSubmitted ? (
+                    <>
+                        <ModalHeader>Upload New Data</ModalHeader>
+                        <ModalBody>
+                            <div className="flex space-x-6">
+                                <div
+                                    aria-label="Upload gas data"
+                                    className="w-full h-40 border-2 border-dashed border-gray-300 rounded-lg flex items-center justify-center cursor-pointer"
+                                    role="button"
+                                    tabIndex={0}
+                                    onClick={() => document.getElementById('gas-upload')?.click()}
+                                    onDragOver={(e) => e.preventDefault()}
+                                    onDrop={(e) => {
+                                        e.preventDefault();
+                                        const file = e.dataTransfer.files[0];
+
+                                        if (file) handleFileUpload('gas', file);
+                                    }}
+                                    onKeyDown={(e) => {
+                                        if ((e.key === 'Enter' || e.key === ' ') && gasFile) {
+                                            e.preventDefault();
+                                        }
+                                    }}
+                                >
+                                    <p className="text-center p-4">Click or drag to upload gas bill PDF</p>
+                                    <input
+                                        accept=".pdf"
+                                        className="hidden"
+                                        id="gas-upload"
+                                        type="file"
+                                        onChange={(e) => {
+                                            const file = e.target.files?.[0];
+
+                                            if (file) handleFileUpload('gas', file);
+                                        }}
+                                    />
+                                </div>
+                                <div
+                                    className="w-full h-40 border-2 border-dashed border-gray-300 rounded-lg flex items-center justify-center cursor-pointer"
+                                    role="button"
+                                    tabIndex={0}
+                                    onClick={() => document.getElementById('electricity-upload')?.click()}
+                                    onDragOver={(e) => e.preventDefault()}
+                                    onDrop={(e) => {
+                                        e.preventDefault();
+                                        const file = e.dataTransfer.files[0];
+
+                                        if (file) handleFileUpload('electricity', file);
+                                    }}
+                                    onKeyDown={(e) => {
+                                        if ((e.key === 'Enter' || e.key === ' ') && electricityFile) {
+                                            e.preventDefault();
+                                        }
+                                    }}
+                                >
+                                    <p className="text-center p-4">Click or drag to upload electricity bill PDF</p>
+                                    <input
+                                        accept=".pdf"
+                                        className="hidden"
+                                        id="electricity-upload"
+                                        type="file"
+                                        onChange={(e) => {
+                                            const file = e.target.files?.[0];
+
+                                            if (file) handleFileUpload('electricity', file);
+                                        }}
+                                    />
+                                </div>
+                            </div>
+                        </ModalBody>
+                        <ModalFooter />
+                    </>
+                ) : (
+                    <>
+                        <ModalHeader>Data Uploaded</ModalHeader>
+                        <ModalBody>
+                            <div className="flex flex-col items-center">
+                                <p className="text-4xl">✅</p>
+                                <p className="text-center mt-4">
+                                    Your file has been successfully uploaded! Please wait while we extract the data.
+                                </p>
+                                {(gasFile || electricityFile) && (
+                                    <Accordion className="w-full mt-4">
+                                        <AccordionItem key="1" aria-label="File Preview" title="File Preview">
+                                            {gasFile && gasFileUrl && (
+                                                <div>
+                                                    <p>Gas Bill:</p>
+                                                    <p>Name: {gasFile.name}</p>
+                                                    <p>Type: {gasFile.type}</p>
+                                                    <p>Size: {(gasFile.size / 1024).toFixed(2)} KB</p>
+                                                    <embed
+                                                        className="mt-2"
+                                                        height="500px"
+                                                        src={gasFileUrl}
+                                                        type="application/pdf"
+                                                        width="100%"
+                                                    />
+                                                </div>
+                                            )}
+                                            {electricityFile && electricityFileUrl && (
+                                                <div className="mt-4">
+                                                    <p>Electricity Bill:</p>
+                                                    <p>Name: {electricityFile.name}</p>
+                                                    <p>Type: {electricityFile.type}</p>
+                                                    <p>Size: {(electricityFile.size / 1024).toFixed(2)} KB</p>
+                                                    <embed
+                                                        className="mt-2"
+                                                        height="500px"
+                                                        src={electricityFileUrl}
+                                                        type="application/pdf"
+                                                        width="100%"
+                                                    />
+                                                </div>
+                                            )}
+                                        </AccordionItem>
+                                        <AccordionItem key="2" aria-label="Data Extraction" title="Data Extraction">
+                                            {extractionStatus === 'idle' && aiExtractionStatus === 'idle' && (
+                                                <div className="flex space-x-4">
+                                                    <Button
+                                                        color="primary"
+                                                        onPress={handleExtraction}
+                                                    >
+                                                        Start Form Recognizer Extraction
+                                                    </Button>
+                                                    <Button
+                                                        color="secondary"
+                                                        onPress={handleAIExtraction}
+                                                    >
+                                                        Start AI-Powered Extraction
+                                                    </Button>
+                                                </div>
+                                            )}
+                                            {extractionStatus === 'loading' && <p>Extracting data using Form Recognizer...</p>}
+                                            {aiExtractionStatus === 'loading' && <p>Extracting data using AI...</p>}
+                                            {extractionStatus === 'complete' && <p>Form Recognizer extraction complete!</p>}
+                                            {aiExtractionStatus === 'complete' && <p>AI-powered extraction complete!</p>}
+                                        </AccordionItem>
+                                        <AccordionItem key="3" aria-label="Data Preview" title="Data Preview">
+                                            {dataPreview ? (
+                                                <pre>{JSON.stringify(dataPreview, null, 2)}</pre>
+                                            ) : (
+                                                <p>No data available. Please complete extraction first.</p>
+                                            )}
+                                        </AccordionItem>
+                                    </Accordion>
+                                )}
+                            </div>
+                        </ModalBody>
+                        <ModalFooter>
+                            <Button color="primary" onPress={onClose}>
+                                Close
+                            </Button>
+                        </ModalFooter>
+                    </>
+                )}
+            </ModalContent>
+        </Modal>
+    );
+}
--- a/Project/config/fonts.ts
+++ b/Project/config/fonts.ts
@@ -0,0 +1,11 @@
+import { Fira_Code as FontMono, Inter as FontSans } from "next/font/google";
+
+export const fontSans = FontSans({
+  subsets: ["latin"],
+  variable: "--font-sans",
+});
+
+export const fontMono = FontMono({
+  subsets: ["latin"],
+  variable: "--font-mono",
+});
--- a/Project/config/site.ts
+++ b/Project/config/site.ts
@@ -0,0 +1,9 @@
+export type SiteConfig = typeof siteConfig;
+
+export const siteConfig = {
+    name: "Carbin",
+    description: "Smart bins to help track your building's carbon footprint and encourage responsible waste management.",
+    links: {
+        github: "https://github.com/elibullockpapa/patriotHacks2024",
+    },
+};
--- a/Project/config/trashItems.ts
+++ b/Project/config/trashItems.ts
@@ -0,0 +1,104 @@
+
+export const trashItems = [
+    {
+        id: "Aluminum-Can",
+        name: "Aluminum Can",
+        bin: "Recycling",
+        co2e: 170,
+    },
+    {
+        id: "Aluminum-Foil",
+        name: "Aluminum Foil",
+        bin: "Recycling",
+        note: "Please rinse and flatten",
+        co2e: 10,
+    },
+    {
+        id: "Bio-Plastic-Cup",
+        name: "Bio-Plastic Cup",
+        bin: "Compost",
+        co2e: 70,
+    },
+    {
+        id: "Cardboard",
+        name: "Cardboard",
+        bin: "Recycling",
+        note: "Please flatten all cardboard",
+        co2e: 80,
+    },
+    {
+        id: "Food",
+        name: "Food",
+        bin: "Compost",
+        co2e: 1000,
+    },
+    {
+        id: "Food-Wrapper",
+        name: "Food Wrapper",
+        bin: "Landfill",
+        co2e: 6,
+    },
+    {
+        id: "Paper",
+        name: "Paper",
+        bin: "Recycling",
+        co2e: 8,
+    },
+    {
+        id: "Paper-Cup",
+        name: "Paper Cup",
+        bin: "Recycling",
+        co2e: 11,
+    },
+    {
+        id: "Paper-Plate",
+        name: "Paper Plate",
+        bin: "Compost",
+        co2e: 15,
+    },
+    {
+        id: "Paper-Soft",
+        name: "Soft Paper",
+        bin: "Recycling",
+        co2e: 5,
+    },
+    {
+        id: "Plastic-Bag",
+        name: "Plastic Bag",
+        bin: "Landfill",
+        co2e: 33,
+    },
+    {
+        id: "Plastic-Bottle",
+        name: "Plastic Bottle",
+        bin: "Recycling",
+        note: "Only hard number 1 or 2 bottles",
+        co2e: 82,
+    },
+    {
+        id: "Plastic-Container",
+        name: "Plastic Container",
+        bin: "Recycling",
+        note: "Only hard plastics number 1 or 2",
+        co2e: 100,
+    },
+    {
+        id: "Plastic-Cup",
+        name: "Plastic Cup",
+        bin: "Recycling",
+        note: "Only hard plastics number 1 or 2",
+        co2e: 30,
+    },
+    {
+        id: "Plastic-Utensil",
+        name: "Plastic Utensil",
+        bin: "Landfill",
+        co2e: 8,
+    },
+    {
+        id: "Styrofoam",
+        name: "Styrofoam",
+        bin: "Landfill",
+        co2e: 45,
+    },
+];
--- a/Project/lib/firebase.ts
+++ b/Project/lib/firebase.ts
@@ -0,0 +1,28 @@
+// lib/firebase.ts
+
+import { initializeApp } from "firebase/app";
+import { getAuth } from "firebase/auth";
+import { initializeFirestore, persistentLocalCache, persistentMultipleTabManager } from "firebase/firestore";
+
+// Firebase config object
+const firebaseConfig = {
+    apiKey: process.env.NEXT_PUBLIC_FIREBASE_API_KEY,
+    authDomain: process.env.NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN,
+    projectId: process.env.NEXT_PUBLIC_FIREBASE_PROJECT_ID,
+    storageBucket: process.env.NEXT_PUBLIC_FIREBASE_STORAGE_BUCKET,
+    messagingSenderId: process.env.NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID,
+    appId: process.env.NEXT_PUBLIC_FIREBASE_APP_ID,
+};
+
+// Initialize Firebase app
+const app = initializeApp(firebaseConfig);
+
+// Initialize Firebase Auth
+export const auth = getAuth(app);
+
+// Initialize Firestore with offline persistence
+export const db = initializeFirestore(app, {
+    localCache: persistentLocalCache({
+        tabManager: persistentMultipleTabManager(),
+    }),
+});
--- a/Project/lib/useBuildingData.ts
+++ b/Project/lib/useBuildingData.ts
@@ -0,0 +1,145 @@
+// lib/useBuildingData.ts
+"use client";
+
+import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query";
+
+export type ElectricityDataPoint = {
+    timestamp: {
+        seconds: number;
+        nanoseconds: number;
+    };
+    kwh: number;
+    emissions: number;
+};
+
+export type NaturalGasDataPoint = {
+    timestamp: {
+        seconds: number;
+        nanoseconds: number;
+    };
+    therms: number;
+    emissions: number;
+};
+
+export type WasteDataPoint = {
+    timestamp: {
+        seconds: number;
+        nanoseconds: number;
+    };
+    type: string;
+    trashcanID: string;
+    wasteCategory: string;
+    emissions: number;
+};
+
+export type Building = {
+    name: string;
+    id: string;
+    address: string;
+    yearBuilt: number;
+    squareFeet: number;
+    imageURL: string;
+    electricityUsage: Array<ElectricityDataPoint>;
+    naturalGasUsage: Array<NaturalGasDataPoint>;
+    wasteGeneration: Array<WasteDataPoint>;
+}
+
+const getBuildingsFromAPI = async () => {
+    const response = await fetch('/api/buildings');
+
+    if (!response.ok) {
+        throw new Error('Network response was not ok');
+    }
+
+    return response.json();
+}
+
+const updateBuildingInAPI = async (buildingId: string, newData: Partial<Building> & { operation?: string; index?: number }) => {
+    const response = await fetch('/api/buildings', {
+        method: 'PATCH',
+        headers: {
+            'Content-Type': 'application/json',
+        },
+        body: JSON.stringify({ id: buildingId, ...newData }),
+    });
+
+    if (!response.ok) {
+        const errorData = await response.json();
+
+        throw new Error(`Network response was not ok: ${response.status} ${response.statusText}. ${JSON.stringify(errorData)}`);
+    }
+
+    return response.json();
+}
+
+export function useBuildingList() {
+    const query = useQuery<Building[], Error>({
+        queryKey: ['buildings'],
+        queryFn: getBuildingsFromAPI,
+        staleTime: 10 * 60 * 1000,
+        gcTime: 15 * 60 * 1000,
+    });
+
+    return {
+        ...query,
+    };
+}
+
+export function useBuilding(buildingId: string) {
+    const queryClient = useQueryClient();
+
+    const query = useQuery<Building, Error>({
+        queryKey: ['building', buildingId],
+        queryFn: () => getBuildingFromAPI(buildingId),
+        staleTime: 10 * 60 * 1000,
+        gcTime: 15 * 60 * 1000,
+    });
+
+    const mutation = useMutation({
+        mutationFn: (data: Partial<Building> & { operation?: string; index?: number }) => updateBuildingInAPI(buildingId, data),
+        onMutate: async (data) => {
+            await queryClient.cancelQueries({ queryKey: ['building', buildingId] });
+            const previousBuilding = queryClient.getQueryData<Building>(['building', buildingId]);
+
+            queryClient.setQueryData<Building>(['building', buildingId], (oldData) => {
+                if (!oldData) return undefined;
+
+                if (data.operation === 'deleteWasteEntry' && typeof data.index === 'number') {
+                    const newWasteGeneration = [...oldData.wasteGeneration];
+
+                    newWasteGeneration.splice(data.index, 1);
+
+                    return { ...oldData, wasteGeneration: newWasteGeneration };
+                }
+
+                return { ...oldData, ...data };
+            });
+
+            return { previousBuilding };
+        },
+        onError: (err, newData, context) => {
+            console.error("Error updating building data:", err);
+            // Log additional details about the failed update
+            console.error("Failed update data:", newData);
+            queryClient.setQueryData(['building', buildingId], context!.previousBuilding);
+        },
+        onSettled: () => {
+            queryClient.invalidateQueries({ queryKey: ['building', buildingId] });
+        }
+    });
+
+    return {
+        ...query,
+        updateBuilding: mutation.mutate
+    };
+}
+
+const getBuildingFromAPI = async (buildingId: string): Promise<Building> => {
+    const response = await fetch(`/api/buildings?id=${buildingId}`);
+
+    if (!response.ok) {
+        throw new Error('Network response was not ok');
+    }
+
+    return response.json();
+}
--- a/Project/next.config.js
+++ b/Project/next.config.js
@@ -0,0 +1,13 @@
+/** @type {import('next').NextConfig} */
+const nextConfig = {
+    images: {
+        remotePatterns: [
+            {
+                protocol: 'https',
+                hostname: '**',
+            },
+        ],
+    },
+}
+
+module.exports = nextConfig
--- a/Project/package.json
+++ b/Project/package.json
@@ -0,0 +1,76 @@
+{
+	"name": "next-app-template",
+	"version": "0.0.1",
+	"private": true,
+	"scripts": {
+		"dev": "next dev --turbo",
+		"build": "next build",
+		"start": "next start",
+		"lint": "eslint . --ext .ts,.tsx -c .eslintrc.json --fix"
+	},
+	"dependencies": {
+		"@azure/ai-form-recognizer": "^5.0.0",
+		"@azure/cosmos": "^4.1.1",
+		"@azure/openai": "^2.0.0-beta.2",
+		"@hyzyla/pdfium": "^2.1.2",
+		"@nextui-org/button": "2.0.38",
+		"@nextui-org/code": "2.0.33",
+		"@nextui-org/input": "2.2.5",
+		"@nextui-org/kbd": "2.0.34",
+		"@nextui-org/link": "2.0.35",
+		"@nextui-org/listbox": "2.1.27",
+		"@nextui-org/navbar": "2.0.37",
+		"@nextui-org/react": "^2.4.8",
+		"@nextui-org/snippet": "2.0.43",
+		"@nextui-org/switch": "2.0.34",
+		"@nextui-org/system": "2.2.6",
+		"@nextui-org/theme": "2.2.11",
+		"@react-aria/ssr": "3.9.4",
+		"@react-aria/visually-hidden": "3.8.12",
+		"@tanstack/react-query": "^5.59.11",
+		"ai": "^3.4.9",
+		"axios": "^1.7.7",
+		"clsx": "2.1.1",
+		"firebase": "^10.14.1",
+		"form-data": "^4.0.1",
+		"formidable": "v3",
+		"framer-motion": "~11.1.9",
+		"inferencejs": "^1.0.13",
+		"intl-messageformat": "^10.6.0",
+		"next": "14.2.4",
+		"next-themes": "^0.2.1",
+		"openai": "^4.67.3",
+		"react": "18.3.1",
+		"react-dom": "18.3.1",
+		"react-draggable": "^4.4.6",
+		"react-pdf": "^9.1.1",
+		"react-webcam": "^7.2.0",
+		"recharts": "^2.13.0",
+		"roboflow-js": "^0.2.32",
+		"screenfull": "^6.0.2",
+		"sharp": "^0.33.5"
+	},
+	"devDependencies": {
+		"@types/formidable": "^3.4.5",
+		"@types/node": "20.5.7",
+		"@types/react": "^18.3.11",
+		"@types/react-dom": "18.3.0",
+		"@typescript-eslint/eslint-plugin": "7.2.0",
+		"@typescript-eslint/parser": "7.2.0",
+		"autoprefixer": "10.4.19",
+		"eslint": "^8.57.1",
+		"eslint-config-next": "14.2.1",
+		"eslint-config-prettier": "^8.10.0",
+		"eslint-plugin-import": "^2.31.0",
+		"eslint-plugin-jsx-a11y": "^6.10.0",
+		"eslint-plugin-node": "^11.1.0",
+		"eslint-plugin-prettier": "^5.2.1",
+		"eslint-plugin-react": "^7.37.1",
+		"eslint-plugin-react-hooks": "^4.6.2",
+		"eslint-plugin-unused-imports": "^3.2.0",
+		"postcss": "8.4.38",
+		"tailwind-variants": "0.1.20",
+		"tailwindcss": "3.4.3",
+		"typescript": "5.0.4"
+	}
+}
--- a/Project/postcss.config.js
+++ b/Project/postcss.config.js
@@ -0,0 +1,6 @@
+module.exports = {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+}
--- a/Project/public/carbin.png
+++ b/Project/public/carbin.png
--- a/Project/public/crumpled-paper.png
+++ b/Project/public/crumpled-paper.png
--- a/Project/public/demo.png
+++ b/Project/public/demo.png
--- a/Project/public/electricity-sample-bill.pdf
+++ b/Project/public/electricity-sample-bill.pdf
--- a/Project/public/favicon.ico
+++ b/Project/public/favicon.ico
--- a/Project/public/homepage-video.mp4
+++ b/Project/public/homepage-video.mp4
--- a/Project/styles/globals.css
+++ b/Project/styles/globals.css
@@ -0,0 +1,23 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+@layer utilities {
+    .ripple-effect {
+        position: fixed;
+        width: 10px;
+        height: 10px;
+        border-radius: 50%;
+        transform: translate(-50%, -50%) scale(0);
+        animation: ripple-animation 1s ease-out forwards;
+        pointer-events: none;
+        z-index: 5;
+    }
+}
+
+@keyframes ripple-animation {
+    to {
+        transform: translate(-50%, -50%) scale(300);
+        opacity: 0;
+    }
+}
--- a/Project/tailwind.config.js
+++ b/Project/tailwind.config.js
@@ -0,0 +1,22 @@
+import { nextui } from '@nextui-org/theme'
+
+/** @type {import('tailwindcss').Config} */
+module.exports = {
+  content: [
+    './components/**/*.{js,ts,jsx,tsx,mdx}',
+    './app/**/*.{js,ts,jsx,tsx,mdx}',
+    './node_modules/@nextui-org/theme/dist/**/*.{js,ts,jsx,tsx}'
+  ],
+  theme: {
+    extend: {
+      fontFamily: {
+        sans: ["var(--font-sans)"],
+        mono: ["var(--font-mono)"],
+        baskerville: ["Libre Baskerville", "serif"],
+      },
+    },
+  },
+  darkMode: "class",
+  darkMode: "class",
+  plugins: [nextui()],
+}
--- a/Project/tsconfig.json
+++ b/Project/tsconfig.json
@@ -0,0 +1,28 @@
+{
+  "compilerOptions": {
+    "target": "es5",
+    "lib": ["dom", "dom.iterable", "esnext"],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "forceConsistentCasingInFileNames": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "node",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "preserve",
+    "incremental": true,
+    "plugins": [
+      {
+        "name": "next"
+      }
+    ],
+    "paths": {
+      "@/*": ["./*"]
+    }
+  },
+  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
+  "exclude": ["node_modules"]
+}
--- a/Project/types/index.ts
+++ b/Project/types/index.ts
@@ -0,0 +1,5 @@
+import { SVGProps } from "react";
+
+export type IconSvgProps = SVGProps<SVGSVGElement> & {
+  size?: number;
+};
--- a/README.md
+++ b/README.md
@@ -0,0 +1,151 @@
+# Patriot Hacks 2024
+
+PatriotHacks 24 - 🏆 Microsoft X Cloudforce & 🏆 Save the World
+
+## Repository overview
+
+This repository contains the team's work for PatriotHacks 2024. It is divided into three main folders:
+
+- `AI Training/` — Python scripts and small dataset utilities used to prepare and train ML models for trash classification.
+- `File Converter/` — a small Node.js express service that converts PDF documents into images.
+- `Project/` — a Next.js web application (called "Carbin") for tracking building carbon footprints and providing a trash-detection interface.
+
+Below are concise descriptions and quick start instructions for each subfolder so you (or another team member) can run or continue development.
+
+## AI Training/
+
+Purpose
+- Utilities and small scripts used to: extract images from a HF parquet dataset, upload images to Azure Custom Vision, and run model inference examples.
+
+Key files
+- `hf.py` — shows how to load a Hugging Face image classification model (AutoImageProcessor + AutoModelForImageClassification) for inference.
+- `train.py` — script that uploads images from a Hugging Face parquet dataset into an Azure Custom Vision project and triggers training. NOTE: the current script contains hard-coded Azure endpoint/API keys and project IDs; replace these with environment variables before sharing or running.
+- `ml.py` — extracts images from a Hugging Face parquet dataset and writes images into the `AI Training/images/` folders by label (biodegradable, cardboard, glass, metal, paper, plastic).
+- `main.py` — another example showing uploading images to Custom Vision and iterating the dataset to create images by tag.
+- `pdf.py` — (small utility) sample code to work with pdf-to-image flows referenced in other parts of the project.
+
+Quick start (local, Python)
+
+1. Create and activate a virtual environment (recommended):
+
+```bash
+python -m venv .venv
+source .venv/bin/activate
+```
+
+2. Install common dependencies used by the scripts (adjust versions as needed):
+
+```bash
+pip install dask[complete] azure-cognitiveservices-vision-customvision msrest transformers opencv-python
+```
+
+3. Important: set Azure Custom Vision credentials and the project id as environment variables or edit the scripts to load them securely (do not commit keys):
+
+```bash
+export AZURE_CUSTOMVISION_ENDPOINT="https://..."
+export AZURE_CUSTOMVISION_TRAINING_KEY="<your-training-key>"
+export AZURE_CUSTOMVISION_PREDICTION_KEY="<your-prediction-key>"
+export CUSTOMVISION_PROJECT_ID="<project-id>"
+```
+
+4. Run the scripts as needed. For example, to extract images from the HF parquet source:
+
+```bash
+python "AI Training/ml.py"
+```
+
+Notes and security
+- Some scripts currently contain hard-coded keys and endpoints. Replace them with environment variables or a secrets store before running in any shared environment.
+- The code expects a Hugging Face dataset accessible via an `hf://` parquet path. Ensure you have appropriate HF credentials or local parquet files when running.
+
+## File Converter/
+
+Purpose
+- Small Node.js Express service that accepts an uploaded PDF and returns PNG/JPEG frames generated via `pdf-to-img`.
+
+Key files
+- `index.js` — Express server exposing `/convert` POST endpoint that accepts a file upload (`express-fileupload`) and converts the PDF into images with `pdf-to-img`.
+- `package.json` — lists dependencies required by the service.
+
+Quick start (Node.js)
+
+1. From the `File Converter` folder, install dependencies:
+
+```bash
+cd "File Converter"
+npm install
+```
+
+2. Run the server (the `package.json` in this folder does not define a start script, so run node directly):
+
+```bash
+node index.js
+```
+
+3. The server listens on port 5000 (see `index.js`). POST a `multipart/form-data` request with the `pdf` file field to `http://localhost:5000/convert` to receive converted images in the response.
+
+Notes
+- Consider adding a `start` script to `package.json` and proper error handling and file-size limits before production use.
+
+## Project/ (Carbin)
+
+Purpose
+- A Next.js (v14) application named "Carbin" for tracking building carbon footprints. It includes:
+	- Realtime trash detection UI using an inference worker and webcam access
+	- Building list and detail pages
+	- Firebase-backed data persistence for building metrics
+
+Key files & directories (high level)
+- `package.json` — lists dependencies and provides `dev`, `build`, and `start` scripts.
+- `app/` — Next.js app routes and pages including API routes under `app/api/` (e.g. `buildings`, `chat`, `pdf-to-image`).
+- `components/` — reusable UI components (navbar, trash-detection UI, theme switch, etc.).
+- `lib/firebase.ts` — Firebase initialization (reads config from `NEXT_PUBLIC_*` env vars).
+- `lib/useBuildingData.ts` — React Query hooks for fetching and updating building data.
+- `config/` — app config (site metadata and trash item definitions used for co2 calculations).
+
+Quick start (Next.js)
+
+1. From the `Project/` folder, install dependencies and run dev:
+
+```bash
+cd Project
+npm install
+npm run dev
+```
+
+2. Required environment variables
+	- The app uses Firebase and expects the following env vars (set these before running):
+
+```bash
+export NEXT_PUBLIC_FIREBASE_API_KEY="..."
+export NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN="..."
+export NEXT_PUBLIC_FIREBASE_PROJECT_ID="..."
+export NEXT_PUBLIC_FIREBASE_STORAGE_BUCKET="..."
+export NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID="..."
+export NEXT_PUBLIC_FIREBASE_APP_ID="..."
+```
+
+3. Visit `http://localhost:3000` after running `npm run dev`.
+
+Notes and next steps
+- The project contains an inference worker integration (`inferencejs`) used by the `trashDetection` component to run a model in the browser/worker; you will need the correct worker name/id and API key for that service.
+- The `config/trashItems.ts` file contains per-item CO2e estimates used by the app — adjust values as appropriate.
+
+## Contribution & development tips
+
+- Replace any hard-coded secrets (Azure keys, Firebase secrets) with environment variables or a vault before committing.
+- Add `start`/`dev` scripts where missing (e.g., the `File Converter` folder) for a consistent DX.
+- Consider adding minimal README files inside each subfolder (AI Training/, File Converter/, Project/) if you plan to expand the team.
+
+## Contact / Source
+
+Repository maintained for PatriotHacks 2024. The Next.js app links to the GitHub org in `Project/config/site.ts`.
+
+---
+
+If you want, I can:
+- add per-folder README files
+- create a `requirements.txt` for the Python scripts and a `start` script for the File Converter
+- remove or externalize hard-coded secrets into env var usage in the Python scripts
+
+Tell me which of those you'd like next and I'll implement it.
				`@@ -0,0 +1 @@`
				`An app for tracking the carbon footprint of buildings.`