Multimodal understanding
Text, photos, video metadata and location are classified together so citizens never have to pick the right department.
Civic operations · Incident intelligence
CivicSentinel AI turns fragmented citizen reports into verified, prioritized civic incidents — giving response teams the intelligence to act faster.
1 verified incident · Disaster Management recommended
Seventeen citizens. One flood. Cities usually get seventeen tickets. CivicSentinel returns one verified incident.
Without fusion
A typical civic inbox. Scale is invisible. Crews guess which ticket is real.
With CivicSentinel
Same 17 reports. One operational picture, scored and routed.
Incident Fusion is the product. The form is just the intake.
Text, photos, video metadata and location are classified together so citizens never have to pick the right department.
Nearby, contemporaneous reports collapse into one verified incident instead of seventeen duplicate tickets.
An AI Risk Score combines severity, confidence, report volume, place sensitivity and estimated exposure.
Disaster Management, Roads, Traffic, Utilities and Fire & Rescue are recommended automatically.
A live map, evidence cluster and Response Copilot give officers one operational picture.
Human verification and plan approval are stored as events so future models can train on officer feedback.
Citizen → Web App → API
→ AI Analysis (vision + language)
→ Incident Intelligence Engine
(fusion · risk · routing · copilot)
→ Datastore
→ Command Center → Department responseEvery classification carries a visible confidence value and detected-object list.
Reasoning is shown beside the evidence cluster so officers can override in one action.
Detected → Verified → Assigned → Responding → Resolved is an officer-owned state machine.
Designed for a municipal operations room, campus safety desk, industrial zone or disaster cell — with a hackathon-ready demo path when the clock is running.