About Cloudburst Detection System
A real-time monitoring and prediction system designed to detect and alert communities about potential cloudbursts and extreme weather events.
Our Mission
Our mission is to leverage advanced technology and machine learning to provide early warning systems for extreme weather events, particularly cloudbursts. By analyzing real-time meteorological data, we aim to protect lives and property by giving communities crucial time to prepare and respond to potentially dangerous weather conditions.
Real-Time Monitoring
Continuous monitoring of weather conditions using distributed sensor nodes and advanced analytics to detect anomalies instantly.
Predictive Analysis
Machine learning models trained on historical weather data to predict cloudburst events with high accuracy before they occur.
Community Alerts
Instant notifications to registered contacts and authorities to ensure rapid response and community safety during critical events.
Technology Stack
Frontend
- Next.js 15 with React 19
- TailwindCSS for modern UI
- Real-time data visualization with Recharts
- Interactive maps with Leaflet
Backend
- Firebase for real-time database
- XGBoost machine learning model
- RESTful API for predictions
- SMS notification system
How It Works
Data Collection
Sensor nodes continuously collect meteorological data including rainfall, temperature, humidity, and pressure.
Analysis
Machine learning models analyze the data in real-time to identify patterns and predict potential cloudburst events.
Alert Generation
When a potential threat is detected, the system automatically generates alerts and notifies registered contacts via SMS and app notifications.
Response
Communities and authorities can take preventive measures and evacuate if necessary, minimizing potential damage and casualties.