AI Flood Early Warning System

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1. Smart Flood Monitoring System (IoT-Based)

Idea: Uses water level sensors and rainfall sensors connected to a microcontroller (e.g., Arduino or ESP32).

Features:

Real-time river level monitoring

Automatic flood alerts

SMS or mobile notifications

Inspiration for your project:

Use low-cost IoT sensors to monitor flood conditions continuously.

1. AI-Based Flood Prediction System

Idea: Uses historical rainfall and river level data to predict floods before they occur.

Features:

Machine learning flood prediction

Risk level classification (Low / Medium / High)

Decision support for emergency teams

Inspiration for your project:

Integrate AI models for prediction in Tier 2.

1. Community Flood Warning Network

Idea: Sensors send data to a central dashboard, and alerts are distributed to communities.

Features:

Web dashboard for monitoring

SMS alerts to residents

Siren alerts in high-risk areas

Inspiration for your project:

Build a public dashboard and alert system.

1. Satellite + Sensor Flood Monitoring

Idea: Combines satellite rainfall data with ground sensors.

Features:

Large area monitoring

GIS flood mapping

Early warnings for cities

IoT sensors (water level, rainfall)

AI prediction models

Web dashboard for live monitoring

SMS/mobile alerts for communities

Built With

• css
• html
• java
• javascript
• kotlin