LifeLink is a health-tech platform that connects donors and recipients for blood, plasma, and organ donations.
It uses location awareness, real-time availability, and a hybrid AI-based matching system to reduce emergency response time and improve accessibility.

🚧 Project Status: Under Active Development

During medical emergencies, finding a compatible donor quickly is difficult because:

• Donor availability is not updated in real time
• Matching is mostly manual and slow
• No intelligent prioritization of donors

LifeLink solves this using automation, AI, and scalable microservices.

• Fast and accurate donor–recipient matching
• Reduced emergency response time
• Secure handling of medical and personal data
• Intelligent donor prioritization using ML

• React Native
• Expo

• Spring Boot (Java)
• Microservices Architecture

• Python
• XGBoost Algorithm
• Hybrid Matching Logic:
  • 30% Rule-Based Matching
  • 70% Machine Learning-Based Prediction

• PostgreSQL
• Redis

• JWT (JSON Web Tokens)
• Spring Security (Auth Service only)

• REST APIs
• gRPC
• Feign Client
• Spring Cloud Gateway

• Apache Kafka (Event-driven communication)

• Docker
• ngrok

LifeLink uses a hybrid matching approach:

• Blood group compatibility
• Donation type (blood / plasma / organ)
• Minimum medical eligibility rules
• Location radius filtering

• XGBoost model trained using:
  • Donor availability history
  • Distance between donor and recipient
  • Previous successful donations
  • Emergency priority level
• Produces a matching score
• Higher score = higher donor priority

This combination ensures accuracy, fairness, and reliability.

• 📍 Location-Based Donor Matching
• 🤖 AI-Powered Smart Matching (XGBoost)
• 🩸 Blood, Plasma, and Organ Donation Support
• 🗂️ Donation History Tracking
• 🔐 OTP Login & JWT Authentication
• 📱 Cross-Platform Mobile App (Expo + React Native)
• 🧠 AI Chatbot (Planned)
• 🔁 Event-Driven Microservices (Kafka)
• 🧾 Role-Based Access Control (RBAC)
• 🛡️ Centralized API Gateway

• Microservice-based design
• Services:
  • Authentication Service
  • Donor Service
  • Recipient Service
  • Matching Service (ML + Rules)
  • Notification Service
• API Gateway for routing & security
• Kafka for async communication
• Python ML service integrated via REST

https://drive.google.com/file/d/1KqJp6bXnV086TV6FVBu25VmF8jhKECK3/view?usp=sharing

https://youtu.be/eM6tniPAzJ8?si=-RUSFBi0EMMUBxjw