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This project utilizes machine learning algorithms to predict rainfall patterns based on historical climate data.

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Rainfall-Prediction-System-using-Machine-Learning-

Rainfall Prediction System using Machine Learning Code, Document And Vidoe Tutorial

Rainfall

Abstract:

Accurate rainfall prediction is crucial for various applications, including agriculture, water resource management, and disaster preparedness. This study proposes a machine learning-based rainfall prediction system that utilizes historical climate data and atmospheric conditions to forecast rainfall patterns. The system integrates data from weather stations, satellites, and radar systems to provide real-time predictions and alerts for heavy rainfall events. Experimental results demonstrate the effectiveness of our approach in improving rainfall prediction accuracy, enabling better decision-making for various stakeholders.

Keywords: Rainfall Prediction, Machine Learning, Weather Forecasting, Climate Modeling, Time Series Analysis, Deep Learning, Neural Networks, Regression Analysis, Forecasting Models, Hydrology, Atmospheric Science, Environmental Modeling

Project include:

  1. Synopsis

  2. PPT

  3. Research Paper

  4. Code

  5. Explanation video

  6. Documents

  7. Report

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