Predicts disaster risks and utilizes an advanced uncertainty gating mechanism to determine if those predictions are reliable enough for action. Reducing unsafe operational decisions by up to 46%.
🎓 Final Year AI Undergrad at SRMIST, Chennai
🚀 Co-Founder, Foresight-X Research Labs
🏆 Award Winner at SRM Research Day 2026
Instead of only predicting disasters, the system assesses uncertainty to predict if its own prediction should be trusted.
Risk Assessment
Multi-hazard predictions
Reliability Estimation
Prediction confidence
Anomaly Detection
Data shift metrics
Smart Gating: If confidence is high and data is normal, the alert executes. Otherwise, the system abstains — preventing false alarms.
Integrated modules for comprehensive Indian disaster intelligence
Real-time tracking of cyclones, tsunamis, floods, and earthquakes.
Interactive maps with hazard markers, risk zones, and NDRF deployment locations.
Evaluates the confidence and uncertainty of AI predictions in real-time.
Core innovation — AI that knows when NOT to decide based on data anomalies.
Send real-time warnings via SMS, Telegram, and WhatsApp to affected populations.
Citizens can report incidents directly, reflected in government dashboards.
Voice and text assistant in English, Tamil, Hindi, Kannada, and Telugu.
Designed for Indian disaster management with IMD, INCOIS, CWC, NDRF integration.
Built on state-of-the-art AI reliability frameworks
Lead Researcher • SRMIST
Developed an advanced disaster intelligence platform utilizing a novel reliability-aware architecture. The system intelligently integrates real-time hazard prediction with uncertainty estimation and data shift monitoring to dynamically gate critical operational decisions.
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