Sentinel AI Community ActionGrid

Sentinel AI helps governments and communities detect, report, analyze, and respond to disasters faster through AI, live risk maps, multilingual alerts, and coordinated emergency resources.

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Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

Sentinel AI Community ActionGrid

Inspiration

Communities often experience delays in reporting disasters, sharing reliable information, and coordinating emergency resources. Existing systems are fragmented and difficult for citizens and authorities to use together.

Sentinel AI was created to bridge that gap by providing a single AI-powered emergency management platform that connects citizens, emergency responders, and decision makers in real time.

Our goal is simple:

Turn community reports into rapid emergency action.

What it does

Sentinel AI enables communities and authorities to respond faster during emergencies through:

  • Real-time incident reporting
  • Live risk mapping
  • AI-powered incident classification
  • Multilingual emergency alerts
  • Resource and shelter coordination
  • AI-generated Situation Reports (SITREP)
  • Operational analytics dashboard

The platform transforms raw community reports into actionable intelligence for emergency response teams.

How we built it

Frontend

  • Next.js 15
  • React
  • TypeScript
  • Tailwind CSS

Backend

  • FastAPI
  • Python
  • JWT Authentication

AI

  • Google Gemini
  • OpenAI-ready architecture

Infrastructure

  • Vercel
  • Render
  • GitHub

Mapping

  • Leaflet
  • OpenStreetMap

Challenges we ran into

  • Designing a secure authentication flow between Next.js and FastAPI.
  • Deploying frontend and backend across different cloud providers.
  • Managing real-time disaster data efficiently.
  • Building responsive dashboards for emergency operations.
  • Creating an architecture that works without expensive infrastructure.

Accomplishments

✅ AI-powered emergency platform

✅ Live interactive risk map

✅ Real-time incident reporting

✅ Resource coordination dashboard

✅ AI Situation Reports (SITREP)

✅ Multilingual public alerts

✅ Production deployment

What we learned

Building emergency response software requires balancing speed, usability, security, and reliability.

We also learned how AI can enhance—not replace—human decision-making during disaster response.

What's next

  • Satellite and weather API integration
  • SMS and WhatsApp emergency alerts
  • Predictive disaster forecasting
  • Mobile application
  • Offline reporting mode
  • Multi-country deployment across the IGAD region ## What's next for Sentinel AI Community ActionGrid

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