SevaSetu
AI Disaster Response Platform
A zero-trust, AI-verified disaster response platform that turns distress reports into verified, proximity-based relief actions.
Technologies
Overview
SevaSetu is an AI-driven humanitarian logistics and disaster response platform focused on eliminating unverified reports and coordination delays. It validates incoming distress data, prioritizes urgency, and routes missions to trusted responders.
Architecture & Decisions
Frontend is built with React 19 + Vite. A Node.js/Express backend handles geospatial orchestration with PostgreSQL/PostGIS, while a dedicated FastAPI service runs vision and metadata verification pipelines.
Key Features
Challenges
Balancing high-frequency real-time updates with backend scalability while keeping verification strict enough to prevent fraudulent or stale reports.
Lessons Learned
This project strengthened my ability to combine geospatial systems with AI validation in safety-critical workflows where trust and response time are equally important.
Future Roadmap
Expand multilingual support, improve dispatch optimization heuristics, and deepen integration across messaging channels for faster citizen reporting.