Over the last few decades, several models have been developed, attempting the successful forecasting of rainfall in India. Though some of these models show notable accuracies in short term rainfall occurrence prediction, long term prediction and rainfall depth prediction has proven to be somewhat difficult using traditional statistical methods. The reason being, that the rainfall dynamics are dependant upon highly unpredictable physical parameters, such as humidity, wind speed, wind direction, pressure, temperature and cloud amount. This paper gives the idea about Northeast monsoon rainfall over Tamil Nadu through neural network. The model can predict Northeast monsoon rainfall based on the parameters like Outgoing Long wave Radiation (OLR), Global temperature and Sunspot number as input variable. The model can perform well both in training and testing periods.