Dr. Heal AI is a production-ready medical consultation system that leverages cutting-edge multi-agent architecture to provide intelligent, personalized health guidance. Built with LangGraph orchestration and powered by Google Gemini 2.0 Flash, this system represents the future of AI-assisted healthcare.
The Problem
Traditional medical chatbots provide generic responses and lack the sophistication to handle complex medical queries. Patients need intelligent systems that can:
Analyze symptoms with medical precision
Provide comprehensive disease information
Recommend evidence-based treatments
Identify medical emergencies instantly
Our Solution: Multi-Agent Intelligence
Dr. Heal AI employs four specialized AI agents working in perfect coordination:
🔬 SymptomAnalyzerAgent
Analyzes patient symptoms, assesses severity, and identifies potential conditions using advanced pattern recognition and medical knowledge retrieval.
📚 DiseaseExpertAgent
Provides comprehensive disease information based on ICD-10 classifications, including symptoms, risk factors, complications, and prognosis.
💊 TreatmentAdvisorAgent
Recommends evidence-based treatments, medications, lifestyle modifications, and when to seek professional medical care.
🚨 EmergencyTriageAgent
Identifies life-threatening conditions and provides critical emergency protocols, potentially saving lives through immediate guidance.
Technical Architecture
Backend Excellence
Framework: FastAPI for high-performance API endpoints
Orchestration: LangGraph for sophisticated agent coordination
AI Model: Google Gemini 2.0 Flash for advanced language understanding
Vector Database: ChromaDB with 40+ curated medical documents
Knowledge Base: RAG system with ICD-10 codes, medications, symptom mappings, and emergency protocols
Database: PostgreSQL (Supabase) for user data and conversation history
# Multi-agent orchestration with LangGraphclassMedicalAgentGraph:def__init__(self): self.symptom_analyzer = SymptomAnalyzerAgent() self.disease_expert = DiseaseExpertAgent() self.treatment_advisor = TreatmentAdvisorAgent() self.emergency_triage = EmergencyTriageAgent()defprocess_query(self, user_query:str):# Intelligent routing based on query analysis state = AgentState(query=user_query)# RAG retrieval for medical context state.rag_results = self.vector_store.search(user_query)# Agent coordination state = self.symptom_analyzer.process(state) state = self.disease_expert.process(state) state = self.treatment_advisor.process(state) state = self.emergency_triage.process(state)return self.format_response(state)
Compliance & Standards
Module 2: Multi-Agent System ✅
4 specialized agents with distinct responsibilities
In a world where healthcare access is limited and medical information is often unreliable, Dr. Heal AI provides:
Democratized Healthcare: Free, intelligent medical guidance for everyone
Immediate Assistance: No waiting rooms, no appointments needed
Educational Value: Helps users understand their health conditions
Emergency Preparedness: Life-saving protocols at your fingertips
Technical Innovation
Dr. Heal AI showcases advanced AI engineering:
Multi-agent orchestration with LangGraph
RAG implementation with vector embeddings
Production deployment with Docker and Railway
Mobile-first design with Flutter
Enterprise security with JWT and rate limiting
Open Source & Community
Dr. Heal AI is open source and welcomes contributions. Whether you're a developer, medical professional, or AI enthusiast, join us in revolutionizing healthcare accessibility.
Dr. Heal AI is an educational and informational tool. It does not replace professional medical advice, diagnosis, or treatment. Always consult qualified healthcare providers for medical concerns.
Built with ❤️ by Beamlak Tamirat
Leveraging AI to make healthcare accessible to everyone, everywhere.