This document proposes a method to detect early blight and late blight diseases on potato leaves using convolutional neural networks. It involves preprocessing leaf images, extracting features, and training a classifier to identify disease patterns and provide predictions. The proposed system is evaluated on performance metrics like accuracy, precision, and recall. Convolutional neural networks have achieved high accuracy in plant disease classification compared to traditional methods by automating feature extraction from images. This technique allows for early detection of diseases, helping farmers prevent crop damage and losses.