---
title: SL Clinical Assistant
emoji: 🏥
colorFrom: blue
colorTo: green
sdk: docker
app_port: 3000
pinned: false
license: mit
---

# SL Clinical Assistant

A clinical assistant chatbot powered by RAG (Retrieval-Augmented Generation) that helps medical professionals access and understand Sri Lankan medical guidelines.

## Features

- Interactive chat interface for medical queries
- RAG-based responses using Sri Lankan medical guidelines
- Real-time document processing and vector search
- Modern, responsive UI built with Next.js
- Secure and scalable FastAPI backend

## Development

```bash
# Install frontend dependencies
cd frontend
npm install
npm run dev

# Install backend dependencies
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
python -m uvicorn src.api.main:app --reload
```

## Deployment

The application is deployed on Hugging Face Spaces using Docker. Visit [our Space](https://huggingface.co/spaces/YOUR_USERNAME/sl-clinical-assistant) to try it out.

## License

MIT