The FreshVegFruit project is a machine learning-powered web application designed to classify the freshness of fruits and vegetables. Built using Python, it leverages the YOLOv8 model for accurate and efficient object detection and classification. The project is deployed on Hugging Face Spaces, ensuring seamless accessibility and scalability. Users can upload images, and the model quickly determines the freshness category of the produce. This application demonstrates my expertise in computer vision, model deployment, and creating user-friendly AI-driven solutions. Explore it here: FreshVegFruit.