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113 lines
2.1 KiB
Markdown
113 lines
2.1 KiB
Markdown
# Ethix Frontend
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A SvelteKit web application for the Ethix greenwashing detection platform. Scan products, report misleading environmental claims, and chat with an AI assistant about sustainability.
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## Technology Stack
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| Component | Technology |
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|-----------|------------|
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| Framework | SvelteKit |
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| UI Library | Svelte 5 |
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| Language | TypeScript |
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| Styling | TailwindCSS 4 |
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| Build Tool | Vite |
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| Desktop App | Tauri |
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| Icons | Iconify |
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| 3D Graphics | Three.js |
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| Markdown | marked |
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## Prerequisites
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- Node.js 18+ or Bun
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- Backend server running on `http://localhost:5000`
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## Installation
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Using Bun (recommended):
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```bash
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bun install
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```
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Or using npm:
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```bash
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npm install
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```
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## Development
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Start the development server:
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```bash
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bun run dev
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# or
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npm run dev
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```
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The application will be available at `http://localhost:5173`.
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## Building
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### Web Build
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```bash
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bun run build
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# or
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npm run build
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```
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Preview the production build:
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```bash
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bun run preview
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# or
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npm run preview
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```
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### Desktop Build (Tauri)
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```bash
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bun run tauri build
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# or
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npm run tauri build
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```
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## Features
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### Home Page
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- Responsive design with separate mobile and web layouts
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- Animated parallax landscape background
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- Quick access to all main features
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### AI Chat Assistant
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- Powered by Google Gemini with RAG context
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- Real-time conversation interface
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- Sustainability and greenwashing expertise
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- Message history within session
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### Greenwashing Report Submission
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- Two report types: Product Incident or Company Report
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- Image upload for product evidence
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- PDF upload for company sustainability reports
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- Real-time analysis progress indicator
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- Structured verdict display with confidence levels
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### Catalogue Browser
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- Browse company sustainability reports
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- View user-submitted incidents
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- Category filtering (Tech, Energy, Automotive, etc.)
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- Semantic search functionality
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- Pagination for large datasets
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- Detailed modal views for reports and incidents
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### Product Scanner
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- Camera integration for scanning product labels
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- Brand/logo detection via AI vision
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- Direct report submission from scan results
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