In the context of Industry 4.0, handwritten digit recognition plays a vital role in numerous applications such as smart banking systems and postal code detection. One of the most effective approaches to tackle this problem is through the use of machine learning and neural network models, which have demonstrated impressive accuracy and adaptability in visual pattern recognition tasks.