Applied AI and Deep learning techniques to convert handwritten digits into machine-readable form. Utilized the widely acclaimed MNIST data set to train the model, ensuring its adaptability to a variety of real word scenarios. Expertly preprocessed the input images, ensuring uniform size and orientation. This optimization resulted in substantial enhancement of the model’s performance and recognition accuracy.