A simple K-Nearest Neighbors (KNN) classifier to recognize handwritten digit input, trained on the MNIST dataset kindly borrowed from THE MNIST DATABASE of handwritten digits.

Run

1. Clone the repo
2. Upload a handwritten digit (black number on white background) to the local_test_image/ folder. Set image_path to the respective file path
3. Run the program python main.py

The output will display handwritten digit prediction and its nearest three neighbors (if uncommented in display_results())