NeerSetu
Smart Community Health Monitoring System
A multi-platform AI system preventing waterborne disease outbreaks in rural India. Integrates IoT sensor data, an XGBoost outbreak prediction model (91.2% accuracy, 0.958 AUC), real-time Firebase alerts, a multi-lingual web app supporting 10+ Indian languages, an admin dashboard with Leaflet maps, and a React Native mobile app.
Key features & capabilities.
XGBoost classifier on a 32-dimensional feature vector combining water quality, health surveillance, and environmental data
Novel Water Health Stability Index (WHSI) — a composite early-warning signal
Real-time multi-channel alerts via Firebase Cloud Messaging + Twilio SMS
Leaflet/OpenStreetMap interactive map showing contamination hotspots
IoT simulator for development testing without physical sensors
Published research paper: Bhagwan Parshuram Institute of Technology, CSE Dept.
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