# 🤝 Contributing to Classroom AI Assistant

Thanks for your interest in helping improve the Classroom AI Assistant!  
This project, built under Intel Unnati by Team Bitbots, showcases a fully local emotion-aware AI system—no external LLM APIs used.

## 🚀 What You Can Help With
- Improving frontend responsiveness and UI interactions
- Optimizing FastAPI backend and WebSocket performance
- Enhancing emotion-label mappings and voice synthesis
- Fixing bugs or suggesting new features

## 🧰 Tech Stack
- Frontend: HTML, TailwindCSS, JavaScript
- Backend: FastAPI, WebSockets, DeepFace
- AI: Locally hosted LLaMA 3.1 3B (8-bit), Speech & Emotion modules

## 🔧 Getting Started
1. Fork the repo and clone your branch
2. Set up local model files and install dependencies
3. Make your changes and submit a pull request with a clear description

🧱 All contributions must keep LLM inference fully local and support async handling.

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We appreciate every issue, PR, and star—thank you for helping build emotionally intelligent AI! 🌟