Implemented handwritten Digit Recognition using Python(Keras) and MNIST dataset.
Created the CNN model using overall 8 layers. Added canvas using Tkinter for GUI and did some preprocessing for better accuracy.
Completed the project in two parts:
- Trained the model using 60,000 training images of handwritten digits and saved it.
- Loaded the saved model and predicted the captured image after preprocessing(resizing and padding)