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This project implements a handwritten digit recognition system using deep learning techniques. The system can accurately classify handwritten digits (0–9) from images using a Convolutional Neural Network (CNN) trained on the MNIST dataset. It demonstrates the power of neural networks in image recognition and AI-driven pattern detection.