This project is an AI-powered medical assistant that can:

✅ Answer medical questions using LLM + medical knowledge base (RAG)
✅ Check symptoms & risk level
✅ Detect medical emergencies
✅ Schedule appointments
✅ Maintain chat session memory
✅ Run completely async using Groq API
✅ Serve via FastAPI REST API

Feature Description
Medical QA -> LLM + RAG (trusted medical docs)
Symptom Checker -> Simple rule-based triage
Emergency Detection -> Alerts user if risk is high
Appointment Scheduler -> Simulated booking reply
Chat History -> Keeps last 20 interactions
Async -> Fast + scalable

│── core/
│ ├── agent.py
│ ├── pipeline.py
│ ├── state_manager.py
│── modules/
│ ├── medical_qa.py
│ ├── medical_rag.py
│ ├── alert_monitor.py
│ ├── symptom_checker.py
│ ├── appointment_manager.py
│── utils/
│ ├── config.py
│── retrieval/
│ ├── search.py
│── main.py
│── dockerfile
│── docker-compose.yml
│── requirements.txt
│── README.md

git clone https://github.com/imran-sony/ai_healthcare_agent.git
cd ai_healthcare_agent

python -m venv venv
venv\Scripts\activate

pip install -r requirements.txt

Create a .env file in project root:

GROQ_API_KEY=your_groq_api_key
MODEL_NAME=llama-3.3-70b-versatile
REDIS_URL=redis://localhost:6379/0

uvicorn main:app --reload --host 0.0.0.0 --port 8000