Handwritten Digit Recognition from Images using Deep Learning

In this project, I developed a machine learning model capable of recognizing handwritten digits from images using the MNIST dataset. The goal was to build an automated system that can analyze images containing numerical characters and accurately classify the digits.

The project involved data preprocessing, model development, training, and evaluation using Python and PyTorch.