MediAssist AI

Educational healthcare information assistant built with:

• Python
• FastAPI backend
• Streamlit frontend
• MCP (Model Context Protocol) tool server
• Ollama
• Llama 3.2

This application is for educational/general health information only. It does not diagnose disease, prescribe treatment, or replace a qualified healthcare professional. For emergencies, contact local emergency services.

Architecture

Streamlit UI
     |
     | HTTP
     v
FastAPI Backend
     |
     +---- Ollama / llama3.2
     |
     +---- MCP Client ---- stdio ---- MCP Server
                                      |
                                      +-- medication_info
                                      +-- interaction_check
                                      +-- symptom_guidance
                                      +-- health_topic_search

The LLM receives the user question and MCP tool results. Medication and interaction tools use the included local educational dataset; the model is instructed not to invent clinical facts.

Features

• Chat UI with conversation history
• FastAPI REST endpoints
• Ollama health check
• MCP server/client integration
• Local medication information lookup
• Local interaction examples
• Symptom guidance with conservative red-flag routing
• Health topic search
• API validation and error handling
• Basic tests
• No paid LLM API key

Requirements

• Python 3.11+
• Ollama installed locally

Pull Llama 3.2:

ollama pull llama3.2

Installation

Windows PowerShell

cd mediassist_AI
python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
Copy-Item .env.example .env

macOS/Linux

cd mediassist_AI
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env

Run

Terminal 1:

uvicorn backend.main:app --reload --port 8000

Terminal 2:

streamlit run frontend/app.py

Open Streamlit, normally at:

http://localhost:8501

FastAPI Swagger:

http://localhost:8000/docs

Example questions

• What is paracetamol commonly used for?
• Check the included interaction information for warfarin and ibuprofen.
• I have a mild headache. What general self-care guidance is appropriate?
• Search the knowledge base for hypertension.
• Explain diabetes in simple language.

Important design choice

The medication and interaction database is deliberately small and educational. Production medical software should use validated clinical data sources, governance, audit trails, clinician review, privacy controls, security testing, and jurisdiction-specific compliance.