As part of my B.Tech in Computer Engineering, I developed a deep learning project sponsored by Automation AI. This project focuses on detecting diseases in corn leaves to enhance agricultural productivity. Utilizing TensorFlow, VGG16, and CNN architectures, I implemented a robust model that analyzes leaf images for disease identification. The application was built with Python and Flask for the development and HTML/CSS for the frontend, streamlining the user experience. This project combines my passion for technology with practical solutions in agriculture, showcasing the potential of AI in real-world applications.