Handwriting Recognition

Recognizing Hand Written Numebrs With AI

This project utilizes Naive Bayes Classifiers to train an Ai to recognize human handiwritten numbers. It then runs the ai through a test set and gets an average of 96% accuracy. This project was done in C++ instead of Python for C++'s efficiency which would allow this project to be ported to an ESP32 or other microcontroller. The MNIST numbers library is used to train the model.