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Medi Gen AI Pro

MediGen AI revolutionizes organ transplants with AI-driven precision, enabling fast, accurate donor-recipient matches via advanced algorithms. It offers 3D organ visuals and smart alerts

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Description

MediGen AI is an AI-powered platform transforming organ transplantation by enabling rapid, precise donor-recipient matching and comprehensive patient analysis. Leveraging advanced algorithms, 3D visualization, and intelligent alerts, it empowers doctors to make swift, data-driven decisions.

šŸŒŸ Key Features:

šŸ©ŗ AI-Powered Donor Matching: Matches donors and recipients using blood type, HLA, and organ specs from 50+ profiles.

šŸ“„ Detailed Health Insights: Analyzes extensive patient data (e.g., GFR, ALT, vitals) for severity and transplant need.

šŸ„ 3D Organ Simulation: Visualizes organs for surgical planning and transplant evaluation.

šŸ”” Unmatched Recipient Alerts: Notifies when previously unmatched patients find donor matches.

šŸš€ What We Offer:

šŸ“Š Rapid Matching: Advanced algorithm ensures fast, accurate donor-recipient pairing.

šŸ§  Holistic Analysis: Combines vitals, labs, and history for precise organ health assessment.

šŸ”— Doctor-Centric Design: Supports medical professionals with actionable AI insights.

šŸ„ Features Overview:

AI Donor-Recipient Matching

  • Trained on India-centric donor data (e.g., Delhi, Mumbai profiles).

  • Matches on blood type, HLA, size, and proximity (~50 donors in donors.js).

Health Data Analysis

  • Processes 20+ fields (e.g., GFR, Creatinine, O2 saturation) for transplant eligibility.

  • Integrates patient records with lab results for severity scoring.

3D Simulation

  • Generates organ models from imaging for pre-surgical planning.

  • Assesses transplant feasibility with structural insights.

Intelligent Alerts

  • Alerts on homepage when unmatched recipients (e.g., P10001) match new donors (e.g., D001).

āš™ļø Setup & Usage:

Prerequisites:

  • Node.js (React frontend)

  • Python 3.9+ (FastAPI backend)

  • Ngrok (public URL exposure)

Required Packages:


pip install fastapi uvicorn pydantic pyngrok nest-asyncio axios

npm install

Clone the Repository:


git clone [https://github.com/AnushkaJainFirst/MediGenAI.git](https://github.com/AnushkaJainFirst/MediGenAI.git)

cd MediGen

Backend Setup:

Start FastAPI:


uvicorn main:app --reload

Expose via Ngrok (note public URL for frontend).

Frontend Setup:


npm install

npm start

šŸ—ļø Future Enhancements:

šŸ” Real-Time Matching: Integrate live donor registries (e.g., NOTTO).

šŸŒŽ Multi-Region Support: Expand to global transplant networks.

šŸ“ˆ Enhanced 3D Models: Add interactive organ simulations.

Progress During Hackathon

70

Tech Stack

React
Next
Web3
Solidity
Team LeaderHhq_1742292049
Sector
AI