CropMate: Crop Disease Detection and Smart Agricultural Marketplace Project

Agriculture plays a vital role in the economy, and crop diseases significantly affect crop yield and quality. Early disease detection can help farmers take preventive measures and reduce losses. This project presents CropMate, an AI-driven agricultural assistance system that combines crop disease prediction, multilingual chatbot support, and an agricultural e-commerce platform. The system uses a Convolutional Neural Network (CNN) model trained on crop disease datasets to identify diseases from uploaded leaf images. Upon prediction, an AI chatbot provides disease treatment recommendations and farming guidance. Additionally, the platform offers a marketplace where farmers can list agricultural products and customers can purchase them online. The application includes user authentication, order management, product reviews, feedback collection, and multilingual support. Developed using Django, TensorFlow, and Groq LLM technology, CropMate aims to enhance agricultural productivity and facilitate digital farming solutions.