AI-Based Crop Disease Detection is an Artificial Intelligence application that identifies plant diseases from leaf images. The system uses Deep Learning (CNN) to analyze leaf patterns and detect diseases accurately. It helps farmers identify diseases at an early stage, reduce crop loss, improve crop yield, and increase productivity. The technologies used in this project are Python, TensorFlow, OpenCV, and CNN. This project supports smart farming by providing fast and reliable disease detection.