Plant Disease Prediction - (Flask)
Description
This is a Plant Disease Prediction System that uses deep learning to identify diseases in agricultural crops. The application employs DenseNet-based convolutional neural networks to detect diseases across six major crop types: tomato, corn, tea, cotton, potato, and rice, providing farmers with instant diagnostic capabilities through an easy-to-use web interface. The project also utilizes Custom trained GPT3 Turbo model to answer queries about plan diseases.
Built with Flask and TensorFlow, the system features bilingual support (English and Bengali) and provides comprehensive disease information including symptoms, prevention methods, and treatment recommendations. The application processes uploaded plant images through pre-trained DenseNet models, delivering accurate predictions along with detailed guidance for disease management and crop health maintenance.
