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This project is a handwritten digit classifier built with PyTorch and trained on the MNIST dataset. It uses a Convolutional Neural Network (CNN) to recognize digits from 0 to 9 with high accuracy. The project features a Streamlit web app that allows users to upload their own handwritten digit images and get real-time predictions.