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SirBlob
2026-04-20 16:16:54 -04:00
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README.md
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<br/>
HushMap bridges the gap between hardware sensors and top-tier artificial intelligence pipelines (e.g. **Terp AI**, **ElevenLabs**, **YOLOv8**), delivering a seamless real-time learning assistant combined with live noise and occupancy metrics.
HushMap bridges the gap between hardware sensors and top-tier artificial intelligence pipelines (e.g. **Terp AI**, **ElevenLabs**, **YOLOv8**, and **Gemini**), delivering a seamless real-time learning assistant combined with live noise and occupancy metrics.
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A blazing fast asynchronous HTTP server facilitating audio chunking and sensor metrics logic over full-duplex sockets.
* **Core Capabilities**:
* **Voice Socket Pipelining**: WebSockets (`/ws/voice`) that hook incoming 16-bit PCM arrays into `faster-whisper`.
* **LLM Context Augmentation**: Seamlessly aggregates live MongoDB noise statistics (Decibel levels per location) to feed contextual history to the TerpAI engine!
* **LLM Context Augmentation**: Seamlessly aggregates live noise statistics (Decibel levels per location) to feed contextual history to the AI engine. Uses **TerpAI** with a seamless fallback to **Gemini 2.5 Flash** if TerpAI is unavailable!
* **Computer Vision Endpoint**: Exposes a `YOLOv8` tensor API (`/api/vision/room-status`) to parse webcam imagery, pinpoint seating capacities, and locate available chairs algorithmically.
* **Dynamic Data Source**: Data can either be fetched in real-time from a **MongoDB** database, or simulated on-the-fly via an in-memory generator depending on the `USE_DB` environment flag.
* **Setup**:
```bash
cd backend
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For IoT clients, update `/m5go/main.py` explicitly to broadcast to your running router IP namespace matching your specific VLAN.
For IoT clients, update `/m5go/main.py` explicitly to broadcast to your running router IP namespace matching your specific VLAN.