AI-Powered Emergency Response Platform | Live Disaster Monitoring | Intelligent Risk Assessment
Every year, natural disasters claim thousands of lives and cause billions in damages. The critical gap? Lack of real-time, AI-analyzed disaster intelligence and immediate emergency response systems.
Current solutions are fragmented:
- ❌ Weather apps show data, but don't analyze disaster risk
- ❌ News is scattered, not AI-filtered for disasters
- ❌ Emergency services are hard to locate during crises
- ❌ No intelligent assistant to guide citizens during emergencies
People need a single platform that combines real-time data, AI intelligence, and emergency response.
DisasterSense is the India first AI-powered disaster intelligence platform that combines:
- 🤖 AI News Intelligence - Groq AI analyzes global news to detect disasters in real-time
- 🚨 One-Click SOS System - Instant emergency reporting with geolocation
- 🏥 Smart Emergency Locator - Find nearest hospitals, police, fire stations instantly
- 💬 AI Disaster Assistant - Context-aware chatbot powered by Groq for emergency guidance
- 📊 Multi-Factor Risk Assessment - Weather + AQI + Earthquakes + AI-analyzed news
Unlike traditional apps, we don't just show data—we provide actionable intelligence.
Industry First: Real-time disaster detection from global news using Groq AI
- GNews API fetches disaster-related news for any city
- Groq AI analyzes each article for:
- Disaster type (landslide, fog, accident, flood, etc.)
- Severity score (0-10)
- Affected areas
- Actionable insights
- Risk Integration: News-based risk contributes 20% to overall risk score
- Visual Cards: Latest disasters displayed with AI analysis
Why it matters: Traditional apps rely on sensors. We use AI to detect disasters from news before they're officially reported.
One-click emergency reporting with MongoDB logging and real-time geolocation
- Instant SOS: Red button for immediate emergency reporting
- Auto-Location: Captures GPS coordinates automatically
- Disaster Classification: 8 disaster types (earthquake, flood, fire, etc.)
- Backend Integration: Stores SOS reports in MongoDB for emergency responders
- Emergency Contacts: Quick access to Police (100), Ambulance (102), Fire (101)
Why it matters: During disasters, every second counts. Our SOS system works even when traditional communication fails.
Context-aware AI chatbot that provides emergency guidance based on current conditions
- Groq AI Integration: Lightning-fast responses using
llama-3.3-70b-versatile - Context-Aware: Knows current weather, AQI, risk level, and location
- Emergency Guidance: Provides safety tips, evacuation routes, first aid
- Natural Conversation: Understands disaster-related queries in plain language
Why it matters: Citizens need real-time guidance during emergencies. Our AI assistant acts as a virtual emergency advisor.
Comprehensive risk calculation from 4 independent data sources
Risk Factors:
- Weather Data (30%) - Temperature, humidity, wind speed, precipitation
- Air Quality (20%) - AQI from OpenWeatherMap
- Seismic Activity (30%) - Recent earthquakes from USGS
- AI News Analysis (20%) - Disaster events from news intelligence
Output: 0-10 risk score with visual indicators (Low/Moderate/High/Extreme)
Why it matters: Single-source risk is unreliable. We combine multiple sources for accurate assessment.
Find nearest hospitals, police stations, fire departments using OpenStreetMap
- Geolocation-Based: Uses user's current location
- OpenStreetMap Integration: Real-time data on emergency services
- Distance Calculation: Shows exact distance to each facility
- One-Click Navigation: Direct links to Google Maps
Why it matters: During disasters, finding help quickly saves lives.
Our design stands out from typical hackathon projects:
✨ Modern Glassmorphism - Translucent cards with backdrop blur
🎨 Curated Color Palette - Warm amber/orange gradients (not generic blue)
🌓 Dark Mode First - Optimized for low-light emergency scenarios
⚡ Micro-Animations - Smooth transitions and hover effects
📱 Responsive Design - Works flawlessly on mobile, tablet, desktop
♿ Accessibility - High contrast, readable fonts, keyboard navigation
Design Highlights:
- Custom weather icons with gradient fills
- Animated risk score gauge
- Smooth page transitions
- Interactive emergency contact cards
- Real-time data loading states
- React 19 - Latest version with concurrent features
- Axios - HTTP client for API calls
- Recharts - Data visualization for temperature trends
- Lucide React - Modern icon library
- CSS3 - Custom styling with glassmorphism
- Node.js + Express - RESTful API server
- MongoDB Atlas - Cloud database for SOS reports and risk logs
- Mongoose - ODM for MongoDB
- Groq AI - Ultra-fast LLM inference (
llama-3.3-70b-versatile) - GNews API - Real-time global news aggregation
- OpenWeatherMap API - Weather data, AQI, 5-day forecast
- USGS Earthquake API - Real-time seismic activity
- OpenStreetMap Overpass API - Emergency services location data
- Vercel - Frontend hosting with CDN
- Render - Backend hosting (free tier)
- MongoDB Atlas - Database hosting (free tier)
┌─────────────────────────────────────────────────────────────┐
│ User Interface │
│ (React + Vercel CDN) │
└────────────────────────┬────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Express.js Backend │
│ (Render Hosting) │
├─────────────────────────────────────────────────────────────┤
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ News Service │ │ AI Service │ │ SOS Service │ │
│ │ (GNews + │ │ (Groq AI) │ │ (MongoDB) │ │
│ │ Groq AI) │ │ │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
└────────────────────────┬────────────────────────────────────┘
│
┌───────────────┼───────────────┐
▼ ▼ ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ OpenWeather │ │ USGS API │ │ MongoDB │
│ API │ │ (Earthquakes)│ │ Atlas │
└─────────────┘ └─────────────┘ └─────────────┘
- Node.js 16+ and npm
- MongoDB Atlas account (free tier)
- API Keys:
- OpenWeatherMap (free)
- GNews (free tier: 100 requests/day)
- Groq (free tier)
git clone https://github.com/HarshSharma1112/DisasterSense.git
cd DisasterSensecd backend
npm install
# Create .env file
cp .env.example .env
# Edit .env with your credentials:
# MONGODB_URI=your_mongodb_connection_string
# GNEWS_API_KEY=your_gnews_key
# GROQ_API_KEY=your_groq_key
# FRONTEND_URL=http://localhost:3000
# Start backend
npm start
# Backend runs on http://localhost:5000cd ../frontend
npm install
# Create .env file
cp .env.example .env
# Edit .env:
# REACT_APP_API_URL=http://localhost:5000
# Start frontend
npm start
# Frontend runs on http://localhost:3000Open http://localhost:3000 in your browser.
🌍 Frontend: https://disaster-sense.vercel.app
⚙️ Backend API: https://disastersense-5qjt.onrender.com
📊 API Health: https://disastersense-5qjt.onrender.com/api/health
Note: Backend is hosted on Render's free tier. First request may take 30-60 seconds to wake up the server.
Multi-source risk assessment with weather, AQI, earthquakes, and AI news analysis
Groq AI analyzes global news to detect disasters with severity scores
One-click emergency reporting with geolocation and disaster classification
Context-aware AI assistant powered by Groq for emergency guidance
[![Watch Demo] https://youtu.be/mBl87tTG-iw?si=BzDiSa0Ua9XqMTUh
| Feature | Traditional Apps | DisasterSense |
|---|---|---|
| Data Sources | Single source (weather only) | 4 sources (weather, AQI, earthquakes, news) |
| AI Intelligence | None | Groq AI analyzes news + provides guidance |
| Emergency Response | Phone numbers only | SOS system + emergency locator + AI assistant |
| Risk Assessment | Basic weather alerts | Multi-factor AI-powered risk score |
| News Integration | Generic news feeds | AI-filtered disaster-specific intelligence |
| Design | Generic templates | Premium glassmorphism UI |
- Real-Time Alerts - Push notifications for high-risk events
- Community Reports - Crowdsourced disaster reporting
- Evacuation Routes - AI-optimized escape paths
- Offline Mode - PWA with cached data for network outages
- Multi-Language Support - Localization for global reach
- Predictive Analytics - ML models to forecast disasters
- Government Integration - Direct connection to emergency services
DisasterSense/
├── frontend/ # React frontend
│ ├── public/
│ ├── src/
│ │ ├── components/ # React components
│ │ │ ├── Dashboard.jsx # Main dashboard
│ │ │ ├── AIAssistant.jsx # Groq AI chatbot
│ │ │ ├── SOSModal.jsx # Emergency SOS
│ │ │ ├── NearestHelp.jsx # Emergency locator
│ │ │ ├── DisasterNews.jsx # AI news intelligence
│ │ │ ├── WeatherCard.jsx # Weather display
│ │ │ └── RiskScore.jsx # Risk assessment
│ │ ├── App.js
│ │ └── index.css # Global styles
│ ├── .env.example
│ └── package.json
│
├── backend/ # Node.js + Express backend
│ ├── models/ # MongoDB schemas
│ │ ├── Emergency.js # SOS reports
│ │ └── RiskLog.js # Risk history
│ ├── routes/ # API routes
│ │ ├── emergency.js # SOS endpoints
│ │ ├── news.js # News intelligence
│ │ ├── ai.js # AI chatbot
│ │ └── responders.js # Emergency services
│ ├── services/
│ │ └── newsAnalysisService.js # Groq AI integration
│ ├── app.js # Express app
│ ├── server.js # Server entry point
│ ├── .env.example
│ └── package.json
│
├── DEPLOYMENT_GUIDE_DETAILED.md
├── README.md
└── LICENSE
We welcome contributions! Please follow these steps:
- Fork the repository
- Create a feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
Harsh Sharma - Full Stack Developer & AI Integration
GitHub: @HarshSharma1112
- Groq - For providing ultra-fast AI inference
- GNews - For real-time global news API
- OpenWeatherMap - For comprehensive weather data
- USGS - For earthquake monitoring data
- OpenStreetMap - For emergency services location data
Project Link: https://github.com/HarshSharma1112/DisasterSense
Live Demo: https://disaster-sense.vercel.app
Email: harsh_s1@me.iitr.ac.in
