Precipitation Forecasting and Rainfall Prediction System using Machine Learning
DOI:
https://doi.org/10.48001/978-81-980647-6-9-4Keywords:
Numerical weather prediction(NWP), Global climate models(GCM), Support Vector machines, Artificial neural networks, Geographical information systemsAbstract
Accurate rainfall forecasting is crucial for water management, agriculture, and disaster preparedness. Traditional models struggle with complex meteorological data, so this study proposes a machine learning-based system using ANN, SVM, and RF models. Trained on historical weather data, it predicts rainfall intensity and frequency. A Flask-based web interface enables real-time forecasting, while performance is assessed using accuracy, precision, recall, F1-score, and MAE. This scalable system enhances weather prediction for practical applications.
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References
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