Potato Diseases Classifier

Project Description: Potato Disease Detection is an end-to-end deep learning web application that classifies potato leaf diseases from uploaded images. The system uses a convolutional neural network built with TensorFlow to identify diseases such as Early Blight, Late Blight, and Healthy leaves. A high-performance backend API was developed using FastAPI to serve the trained model for real-time predictions. The user interface was built with React to provide an intuitive experience for image upload and result visualization. Users can upload a potato leaf image and receive instant disease classification along with prediction confidence. The frontend application is deployed on Vercel for fast and reliable global delivery. The backend API hosting and model inference are managed on Render. The system follows a REST API architecture where the frontend communicates with the backend using HTTP requests. Image preprocessing, model inference, and prediction generation are handled within the API service.