Flood Forecasting with AI
Project Title: Flood Forecasting with AI
Objective:
To build an AI system that accurately predicts flood risks by analyzing weather data, terrain, and water flow patterns. This helps communities prepare for natural disasters, reducing damage and saving lives.
How It Works
Data Collection:
Weather data (rainfall, storms)
River and water body levels
3D terrain models and elevation data
Historical flood records
Modeling:
Use Machine Learning (ML) or Deep Learning (e.g., LSTM for time-series forecasting)
Integrate Geospatial Analysis (GIS) to map risk zones
Prediction Output:
Predict when and where flooding is likely
Display results via heatmaps, risk zones, and real-time alerts
Technologies Used
Python (NumPy, Pandas, scikit-learn, TensorFlow/Keras)
Google Earth Engine / QGIS (for terrain mapping)
APIs for weather data (like OpenWeather or NOAA)
Visualization: Matplotlib, Seaborn, Plotly, or web dashboard
Learning Outcomes
Apply AI to real-world climate challenges
Understand how to work with large environmental datasets
Practice time-series prediction and geospatial analysis
Improve programming and model deployment skills
Inspiration
This project was inspired by real-world examples like the "FloodGate" project, which won an international prize for combining AI and environmental science to create flood risk maps that assist emergency response teams【web】.
₹ 999 /-
Project includes:
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Customization
Fully
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Security
High
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Performance
Fast
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Future Updates
Free
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Total Buyers
500+
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Support
Lifetime
Secure Payment:
