Django web application for monitoring waterlogging risk in agricultural fields using Sentinel-1 satellite data
AI/ML pipeline converting village LiDAR point clouds into waterlogging risk maps and gravity-fed drainage plans for Gram Panchayats | IIT Tirupati × MoPR Hackathon
A research-grade demo of a cross-agency waterlogging intelligence system: citizen reports → AI classification → risk-scored urban events → agency routing → field verification → learning, shown across 9 interactive views.
Civic Tech & Urban Flood Resilience: Real-time crowdsourced waterlogging map powered by AquaVision Edge computer vision, dual community consensus self-healing, automated TTL drainage, and serverless AWS architecture.
Incident management for campus waterlogging and blocked drains: QR reporting, prioritised triage, field work with photo evidence, and verified closure. Serverless on AWS (Lambda, API Gateway, DynamoDB, S3, Cognito, Amplify), defined with AWS SAM.
SafeNav is an intelligent, ML-powered waterlogging precaution and monitoring system designed to help users navigate safely during monsoon seasons. It combines real-time weather data with machine learning models to assess flood risks, offering smart route alternatives to avoid waterlogged streets and ensure safe travel.
Rain and high-tide risk check for Kolkata commutes, by area and hour. AWS Lambda, API Gateway, EventBridge and DynamoDB backend. Built for Environmental Hacks.
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