The canonical example of image recognition for AI is recognizing handwritten digits from the NIST dataset; you'll find it in most computer vision tutorials. If

The canonical example of image recognition for AI is recognizing handwritten digits from the NIST dataset; you'll find it in most computer vision tutorials. If you want to learn about rolling your own: https://towardsdatascience.com/classifying-mnist-digits-using-pca-deep-learning-852aeaff48a5 https://towardsdatascience.com/classifying-mnist-digits-usin... https://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras/ https://machinelearningmastery.com/handwritten-digit-recogni... https://scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html https://scikit-learn.org/stable/auto_examples/classification... The only issue is that you'll have to find training data for letters. I'd be surprised if that didn't exist. Also, Google has an API for recognizing handwriting: https://cloud.google.com/vision/docs/handwriting https://cloud.google.com/vision/docs/handwriting I haven't used it, so I can't vouch for it one way or another. But that'd be a pretty easy way to go!