Handwritten Digit Recognition Using Machine Learning

The project focuses on recognizing handwritten digits using machine learning. The project uses supervised machine learning and the training data consists of more than 100 training images of 4 digits (0 to 3). All these images are 28 x 28 pixels.

The user has to feed a 28 x 28 pixels image with white background and black handwritten digit, which is then processed, and using machine learning the most appropriate result is displayed.