The Disease Detection System for Rice Plants aims to assist farmers and agricultural novices in preventing pest attacks on rice crops. This project is designed to provide detailed information on symptoms, diseases, and causative factors of pests, as well as their management strategies, by analyzing data from various expert-recommended agricultural sources. The website features a structured and intuitive layout, utilizing adequate computers or laptops and supporting hardware such as cameras or smartphones for capturing images of rice plants. Leveraging AI technology and cloud computing platforms like Google Colab for model training, this website is expected to become an effective and user-friendly tool for farmers to maintain the health of their rice crops.