This document discusses using artificial neural networks to predict rainfall based on time series data. It proposes using a feed forward neural network with backpropagation algorithm to develop a weather forecasting model. The model would use historical rainfall data from India to train and make rainfall predictions. Accuracy would be assessed using regression analysis, mean square error, and magnitude of relative error. Accurate long-term rainfall prediction could help evaluate drought and flooding situations in advance.