CityWatch · 2026
CityWatch (HackASU 2026)Designer & Engineer2026
Real-time safety intelligence, built and shipped in 48 hours
Live incident map, natural-language AI chat, automated area briefs. RAG pipeline over live data so the AI answers about your specific area, not generic advice.
Metric- built and deployed
- 48hrs
- retrieval over live data
- RAG
AnirudhCityWatch · Design + Engineering
Design + Engineering
02 The 30-second version
The 30-second version
The challenge
People have no reliable way to understand safety conditions in their immediate area. News is delayed, social media is noisy, and generic safety apps give advice that isn't location-specific.
What I did
Live interactive map with sourced incident data, AI-powered chat for natural-language safety queries, automated area safety briefs, and community reporting with verification.
My role
- Designer and engineer, full stack
- Built and deployed in 48 hours at HackASU
- Claude Builder Club Hackathon
The key insight
Generic safety information is useless. People need answers about THEIR block, THEIR commute, THEIR neighborhood. This meant building a RAG pipeline over live incident data so the AI answers about your specific area.
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