AI For Medicine (Medical Concierge)
A comprehensive AI-powered medical assistance platform for report scanning, symptom triage, and diet planning.
System Architecture Flow
User Input
Patient uploads reports or enters symptoms via the React dashboard.
AI Analysis
Gemini AI processes the text/images to extract medical insights.
Data Persistence
Medical history and insights are stored securely in PostgreSQL.
Concierge Logic
FastAPI orchestrates triage, diet plans, and doctor referrals.
What we have used
FastAPI for a high-performance, asynchronous Python backend.
Google Gemini AI (gemini-2.5-flash) for medical report analysis and symptom triage.
PostgreSQL with SQLAlchemy ORM for robust medical data management.
React.js (Vite) for a fast and interactive dashboard-style frontend.
Axios for efficient communication between the frontend and the FastAPI server.
Uses & Applications
Automated medical report scanning to help patients understand complex results.
Symptom-based triage to provide preliminary medical advice and urgency levels.
Personalized diet and wellness plans generated based on patient history and current symptoms.
Intelligent doctor recommendations based on the identified medical needs.
Future Roadmap
Integrating with wearables to provide real-time health monitoring and alerts.
Expanding the AI model to support more specialized medical domains (e.g., oncology, cardiology).
Implementing a secure telemedicine module for direct doctor-patient consultations.
Adding support for DICOM image analysis for direct X-ray/MRI processing.