SmartEAS
AI-driven emergency alert system
Real-time disaster alert and search-and-rescue platform. Nine AWS Lambda functions scrape Reddit for disaster reports, validate them against NOAA / USGS data, and serve heatmaps and evacuation routes through an MCP-bridged Google Maps integration.
Problem
During disasters, the fastest reports come from people on the ground — social media beats official channels by minutes or hours. But raw social posts are noisy and unverifiable, and acting on a false report can be worse than acting late.
Approach
Nine AWS Lambda functions (Serverless Framework) run the pipeline: scrape Reddit for disaster reports, extract signal with NLP, then cross-validate every candidate event against NOAA, USGS, and NASA data before it's allowed on the map.
Amazon Bedrock Nova Pro does the language work. Verified events render as heatmaps with evacuation routes through an MCP-bridged Google Maps integration, on a Next.js 15 + Material UI front-end served via Amplify.
Outcomes
- Working end-to-end system built within the hackathon window.
- Open source — and the earliest project where I used MCP as an integration layer, a pattern that became central to my later work.