Hand-DIgit-Recognition-Using-CNN-

Brief -

Trained a CNN model on the MNIST dataset, using tensorflow as backend and implmented a GUI for user to choose various options for predicting the result.

Details of Project -

1. Used Convolutional Neural Networks to predict handwritten digits.
2. Wrote the Convolutional Neural Network in tensorflow (Python).
3. The code trains the CNN model and saves its checkpoint in a directory.
4. Another image processing code using OpenCV restores the saved checkpoint while making predictions (Python).
5. User can either -
a. Upload an image
b. Capture an image
c. Display an image
d. Draw an image by gesture
6. User interaction is handled using PyGtk 3.0.