Rakshak
Emergency Blood Supply & Donor Platform
Problem Statement
India faces a chronic blood shortage crisis — over 12,000 units of blood go unaccounted for annually due to theft, mismanagement, and lack of demand forecasting. Existing blood bank systems are fragmented, lack transparency, and offer no real-time coordination between donors, hospitals, and blood banks.
Solution Architecture
Rakshak is a full-stack platform comprising: (1) A React Native citizen app for donors to register, track donations, and earn gamified rewards; (2) An ML-powered demand forecasting engine that predicts blood type requirements by region using historical data and LSTM models; (3) A blockchain-based tracking system that creates an immutable audit trail for every blood unit from donation to transfusion; (4) A hospital-facing dashboard for real-time inventory monitoring and automated emergency alerts.
Tech Stack
React Native (Expo), Node.js, Express, MongoDB, TensorFlow (LSTM demand forecasting), Hyperledger Fabric (blockchain tracking), Firebase (real-time notifications), Docker, AWS EC2.
Results & Metrics
Patent filed with the Indian Patent Office on February 7, 2026 for "Anti-Theft Blood Tracking and Optimization System." Platform currently in active development with pilot deployment planned. ML model achieves 87% accuracy in 7-day demand forecasting.
Challenges & Learnings
Integrating blockchain with real-time hospital workflows required careful latency optimization. Balancing gamification incentives to avoid perverse incentives (gaming the system) required behavioral design iteration. Cross-platform React Native performance on low-end Android devices required architecture-level optimizations.