Chetana AI is a Human-in-the-loop crisis decision-support system that transforms chaotic emergency reports into structured intelligence, explainable priority rankings, semantic duplicate clusters, and 3-horizon response plans.
HyperBloom September AI/ML Hackathon • Zero-Failure Offline Demo Engine Included
End-to-end transformation from raw unstructured signals to human-authorized response
Collects unstructured reports from citizen SOS messages, social feeds, radio dispatches, and CSV/JSON datasets.
AI extracts coordinates, vulnerable demographics, hazard classifications, and clusters semantic duplicate reports.
Transparent multi-factor scoring (0-100) ranks urgency based on severity, casualty exposure, and infrastructure risks.
Generates 3-horizon tactical response plans (0-30m / 6h / 24h) and calculates active equipment deficit gaps.
Traditional disaster platforms simply summarize reports or render raw lists. Chetana AI connects related events, estimates affected populations, calculates resource shortfalls, and delivers actionable 3-horizon plans.
AI outputs are advisory recommendations. Responders authorize, escalate, or modify response plans before tactical action.
Every score displays individual component factor bars and confidence ratings (e.g. 94% confidence) to ensure transparency.
Demo utilizes synthetic situational data. The platform requires no personally identifiable information (PII) to operate.