This project uses a Convolutional Neural
Network (CNN) trained on the MNIST
dataset to recognize handwritten digits.
The model takes grayscale images of
numbers (0–9) and predicts them based on
learned patterns. You can draw a digit on
the canvas, and the model will classify it in
real-time using deep learning.