Deep learning has recently emerged as a viable method for solving complex problems and analyzing large amounts of data. The proposed method generated a precipitation forecasting model by analyzing precipitation data from India and predicting future precipitation using an optimized neural network. Rainfall prediction helps farmers to cultivate crops and improve the economy as well as the economy of the nation. This study aims to provide a comprehensive overview of current scientific studies for forecasting short-term precipitation based on area, month, and temperature on a geographic scale. This article provides an in-depth review and comparison of several neural network topologies used by experts to predict precipitation. The paper also discusses the difficulties of using different computational models to forecast annual/monthly rainfall. In addition, the article provides some accuracy metrics used by experts to evaluate ANN performance

BPNN, CPNN, ANN, MLP