Waste Image Classification App

Built an interactive web application that classifies waste images into 10 categories using a pretrained ResNet50 model and transfer learning. The app was deployed via Streamlit and hosted on Hugging Face Spaces, providing a clean UI for real-time image uploads and predictions.

•Applied data preprocessing, augmentation, and transfer learning

•Trained and evaluated the model with high accuracy on a multi-class dataset