The main objectives of this project are to classify different types or conditions of green chilies using deep learning models like CNN and VGGNet.It involves training the models on labeled chili images to automatically detect variations in size, shape, and maturity.This approach supports efficient sorting and quality control in agricultural and food processing industries.