Doppler Weather RADAR (DWR) data is used here for orographic rainfall prediction using popular Machine Learning (ML) methods Random Forest (RF) and Extreme Gradient Boosting (XGBoost), and Deep Learning (DL) models Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU). Exploratory Data Analysis (EDA) has been done on the data. Data has undergone through preprocessing steps of correlation analysis, feature selection. After prediction by every soft computing algorithm, performance analysis has been done. It is concluded that all the chosen computing approach is giving acceptable performance for the short duration near real-time dataset of north eastern hilly Indian location Cherrapunji.