Project Overview
The project studies flood risk prediction from climate and geospatial data, then compares several classical ML models to identify the strongest performers.
Flood Prediction in Pakistan
A machine learning project focused on predicting floods in Pakistan, using Google Earth Engine data and comparing multiple regression models across provinces and regions.
Tech Stack
- → Python and Jupyter notebooks
- → Google Earth Engine data
- → Django website
- → Regression model comparison
What It Does
- ✓ Uses climate and geospatial features to model flood prediction
- ✓ Compares Linear Regression, Decision Tree, SVR, and Random Forest
- ✓ Highlights the best-performing models for each region
- ✓ Includes results, thresholds, and supporting visual analysis