Inspiration Text describing what inspired the idea and the real-world emergency problems CrisisSense aims to solve.
What it does A clear explanation of how CrisisSense detects emergencies, provides instant guidance, alerts responders, and supports future AR features.
How we built it Details about the tech stack, including Next.js frontend, Node.js backend, AI integrations, geolocation systems, and database modules.
Challenges we ran into Notes about accuracy issues, low-latency requirements, UI simplicity during high-stress situations, and API integration challenges.
Accomplishments that we're proud of Key achievements such as building an end-to-end intelligent alert system, one-tap reporting, scalable architecture, and AR-ready design.
What we learned Insights on emergency UX, real-time AI behavior, location routing, and designing technology where response time matters.
What's next for Crisis Sense Plans including AR overlays, drone-assisted response, broader emergency category detection, improved severity scoring, and partnerships with authorities.
Built With
- 14
- ai
- app
- css
- framer
- icons
- kiro
- localstorage
- lucide
- mongodb
- motion
- next.js
- optional)
- react
- recharts
- router)
- tailwind
- typescript
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