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Context-aware Data-Driven Medical Assistant

Next.js
TypeScript
Django
LLM
Neo4j
MCP
Detailed screenshot of Context-aware Data-Driven Medical Assistant project showing the interface and key features

Project Overview

A sophisticated chat-style medical assistant that leverages a Neo4j graph database to provide accurate medical information through a modern UI.

System Architecture

Architecture diagram for Context-aware Data-Driven Medical Assistant showing system components and their interactions

Key Features

  • Multi-chat UI with speech-to-text capabilities and markdown-formatted replies
  • Seven domain modes (vitals, labs, etc.) with automatic prompt slice loading
  • Structured-chat agent guaranteeing JSON tool calls with retry mechanisms for parse errors
  • Live Neo4j query execution with safety rules and lower-case literal enforcement
  • FastMCP transport layer for efficient communication between components

Command Palette