Flood Prediction
Select a scenario or enter custom environmental parameters to predict flood risk
Predefined Scenarios
Select a scenario to quickly populate environmental data
Heavy Rain
Coastal Flooding
Spring Melt
Moderate
Drought
Custom Parameters
Enter specific environmental data for your prediction
Search by Location
Find a location to automatically retrieve current weather data
Future Scenario Simulation
Project how flood risks might evolve over time based on your scenario
Scenario Description
Describe a future scenario using natural language
About FloodSense
Learn how our flood prediction platform works
How It Works
FloodSense is an AI-powered platform that predicts flood risks based on environmental parameters. The system analyzes rainfall, water levels, humidity, and temperature to provide accurate risk assessments.
Key Features
- Real-time flood risk prediction
- Multiple visualization methods
- Similar location identification
- Historical comparison
- Future scenario simulation
Prediction Models
The platform offers two prediction models:
- Simplified Rule-based Model: Works entirely in the browser using predefined risk assessment rules
- Machine Learning Model: Uses a sophisticated neural network model to provide more accurate predictions based on extensive training data
Creators
FloodSense was developed by:
- Ritvik Shah: Front End Developer and Data Scientist
- Rishi Yedavalli: ML Engineer & Data Scientist
Analysis Results
View and explore your prediction results through multiple visualizations
Enter your data and click "Predict Flood Risk" to see results
Flood Risk Map
Risk Gauge
Risk Factors Breakdown
Historical Comparison
Showing how current conditions compare to historical flood events
Future Risk Simulation
Run a simulation to see future flood risk projections