ResQ AI is a modern disaster response platform that helps citizens, volunteers, and emergency coordinators collaborate through one intelligent system. By combining AI-assisted incident analysis with real-time coordination, ResQ AI aims to reduce response times and improve emergency decision-making.
🌐 Live Demo: https://resq-ai-tau.vercel.app
Natural disasters often expose one major challenge:
Critical information becomes fragmented when every second matters.
Emergency requests are scattered across phone calls, messaging platforms, and social media, making it difficult for responders to understand the situation, prioritize incidents, and coordinate rescue efforts efficiently.
ResQ AI brings these disconnected workflows into a single AI-powered platform designed to support faster, smarter emergency response.
- Report emergencies
- Share incident location
- Upload supporting images
- Track submitted reports
- Browse nearby incidents
- Accept rescue assignments
- Update mission progress
- Coordinate response activities
- Monitor active incidents
- View AI-assisted incident analysis
- Track volunteer activity
- Coordinate emergency response
- Operational analytics dashboard
Designed to assist emergency responders with:
- Incident summarization
- Severity classification
- Priority scoring
- Resource recommendations
- Safety guidance
Citizen Reports Incident
│
▼
Incident Processing
│
▼
AI Analysis
│
▼
Volunteer Assignment
│
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Admin Command Center
│
▼
Incident Resolution
- Next.js 15
- React
- TypeScript
- Tailwind CSS
- Framer Motion
- Lucide React
- Supabase
- PostgreSQL
- Supabase Authentication
- Supabase Storage
- Google Gemini API
- Mapbox
- Vercel
ResQ AI is currently under active development as a production-ready MVP.
- Responsive landing page
- Citizen dashboard
- Volunteer dashboard
- Admin command center
- Incident reporting interface
- Authentication flow
- AI integration layer
- Production deployment on Vercel
- GitHub CI/CD workflow
- Build & lint verification
- Automated testing foundation
- Supabase persistence
- Secure authentication
- Real-time synchronization
- Gemini-powered incident analysis
- Interactive Mapbox visualization
- Volunteer assignment workflow
- Offline-first Progressive Web App
- Push notifications
- SMS emergency reporting
- Multi-language support
- Predictive disaster analytics
- Government & NGO integration
- Advanced resource optimization
app/
components/
lib/
middleware.ts
public/
tests/
schema.sql
git clone https://github.com/ShambhaviCode/ResQ-AI.git
cd ResQ-AInpm installcp .env.example .env.localnpm run devnpm run buildnpm run lintBrainwave 2026
ResQ AI explores how Artificial Intelligence can improve disaster response by helping communities, volunteers, and emergency coordinators collaborate more effectively during emergencies.
Technology has the greatest impact when it helps people during their most difficult moments.
Our vision is to build an intelligent emergency response platform that communities can rely on before, during, and after disasters by combining artificial intelligence, geospatial intelligence, and collaborative coordination into one unified system.
This project is licensed under the MIT License.
Shambhavi
GitHub: https://github.com/ShambhaviCode
Building technology that helps save time when lives depend on it.