Drought Predictor
A machine learning-based drought prediction system using historical climate data.
Overview This project aims to develop a predictive model that can forecast drought events based on historical climate data. The model uses a combination of temperature, precipitation, and soil moisture data to predict the likelihood of drought.
Features
- Uses historical climate data from various sources
- Employs machine learning algorithms for prediction
- Provides a user-friendly interface for data input and visualization
Requirements
- Python 3.8+
- scikit-learn
- pandas
- numpy
- matplotlib
- seaborn
Installation
- Clone the repository:
git clone https://github.com/dimondkudzai/drought-predictor.git - Install the required packages:
using pip
Usage
- Input historical climate data into the system
- Response the predicted drought likelihood
Contributing Pull requests are welcome! Please submit any bug reports or feature requests through the issue tracker.
License This project is licensed under the MIT License.