The AI Disaster Early Warning System is an innovative AI-powered solution designed to predict and provide early warnings for earthquakes, floods, and wildfires. It leverages machine learning, real-time weather data, and geospatial analytics to assess disaster risks and send instant alerts via SMS.
This system is a technological leap in disaster preparedness, offering real-time risk predictions, an interactive visualization dashboard, and automated emergency alerts to help communities, authorities, and individuals take timely action.
✅ Multi-Disaster Prediction – AI-based risk assessment for earthquakes, floods, and wildfires
✅ Machine Learning Model – Utilizes trained ML models to predict risk levels
✅ Real-Time Data Processing – Fetches live weather, seismic, and environmental data
✅ Geolocation & Mapping – Displays disaster-prone areas on an interactive map (Google Maps/Leaflet.js)
✅ Emergency SMS Alerts – Automatically notifies users via Twilio SMS in case of high-risk events
✅ User-Customized Alerts – Users can add locations & preferences for personalized notifications
✅ Sustainable & Scalable – Designed for low-cost deployment & expansion for global coverage
Unlike traditional disaster alert systems that rely solely on pre-set thresholds, this system dynamically analyzes multiple factors (e.g., earthquake magnitude, river levels, wind speed) to predict disaster risks before they escalate.
- Real-time ML predictions notify users before a disaster strikes
- Location-based alerts using reverse geocoding (OpenCage API)
- SMS emergency notifications even when internet access is unavailable
The web interface visualizes disaster-prone areas with:
- Risk level indicators (color-coded for low, medium, and high risk)
- Live disaster location tracking using Leaflet.js / Google Maps API
- Dynamic updates as new data arrives
- Machine Learning Model (trained using seismic & environmental datasets)
- Flask API for processing disaster risk predictions
- Twilio API for sending SMS alerts
- OpenCage API for reverse geocoding
- JavaScript-based interactive UI (Leaflet.js for maps, Chart.js for visualizations)
- AJAX-powered API calls for real-time predictions
- Dynamic form-based user input for multiple disasters
- Flask Backend Deployment (Heroku / Render)
- Frontend Hosting (Netlify / Vercel)
- Scalable API Architecture to handle real-time data
✅ Climate Resilience – Helps communities prepare for natural disasters before they occur
✅ Disaster Prevention – Reduces economic losses by enabling timely evacuations & emergency response
✅ Inclusive Accessibility – SMS alerts work even in rural, low-internet areas
✅ Open-Source Expansion – The system can be scaled globally with localized data models
Inputs: Latitude, Longitude, Depth, Magnitude
Model: ML-based classification model
Output: Low / Medium / High risk
Inputs: Rainfall, River Level, Location
Logic: Threshold-based risk assessment
Output: Low / Medium / High risk
Inputs: Temperature, Wind Speed, Location
Logic: Rule-based classification
Output: Low / Medium / High risk
- If high-risk detected → Immediate SMS Alert
- Risk levels displayed on a map with color coding
The AI Disaster Early Warning System is an innovative, AI-driven approach to disaster prediction and prevention. It combines machine learning, real-time data, and emergency alerting to enhance disaster resilience and preparedness globally.
This project is scalable, sustainable, and impactful, making it a valuable tool for governments, communities, and individuals facing the increasing threat of natural disasters. 🌍🔥🌊🌎