CityShield AI MVP Development

I want to put an initial version of CityShield AI in users’ hands—a single code-base that serves citizens on both web and mobile app, runs a FastAPI + PostgreSQL backend, and exposes React.js screens that stay fluid on every device.

Core flow
• Ingest live video streams from public surveillance cameras, run computer-vision models to spot floods, fires, crashes, or illegal dumping, and flag possible duplicates in real time.
• Score every incident for risk and severity, then plot it instantly on an interactive map so dispatchers can see what matters first.
• Suggest the most appropriate emergency response team automatically.
• Notify citizens through SMS and in-app push notifications the moment an event affects their vicinity.
• Give city managers an admin dashboard where they can filter, search, and export incident data.

Scope of this MVP
1. Responsive React.js front end for web and mobile views (PWA or React Native—whichever you prefer, as long as the same code base feeds both channels).
2. Python FastAPI services that:
• accept camera feeds, run the initial incident-detection model (images and text), and log results to PostgreSQL;
• expose endpoints for the live map, duplicate checking, scoring, and notification triggers.
3. Simple yet clean PostgreSQL schema covering incidents, media assets, users, and notifications.
4. Integrated Twilio or similar gateway for SMS, plus FCM/APNs for push.
5. Dockerised dev/prod setup and a basic CI pipeline so the city can deploy on its own infrastructure.

Acceptance criteria
• A demo city dashboard showing at least three simultaneously detected event types with correct scoring and mapping.
• Citizens can register, receive an SMS and a push test alert, and acknowledge it.
• Duplicate detection suppresses repeated camera frames with >90 % visual similarity.
• Full repository, setup scripts, and README delivered.

Let me know the similar AI/ML or civic-tech projects you’ve shipped, your ballpark timeline (weeks to MVP), and the milestone breakdown you suggest so I can align budget and internal testing.