MNIST Recognizer with TensorFlow

This project is a handwritten digit recognizer using the MNIST dataset, implemented with TensorFlow.

Getting Started

These instructions will help you set up and run the project on your local machine.

Prerequisites

Make sure you have the following installed on your system:

• Python 3.x
• Keras
• TensorFlow
• Pillow
• OpenCV
• Tkinter (for GUI)
• NumPy

You can install these dependencies using the following command:

pip install keras tensorflow pillow opencv-python-headless numpy

Installing

Clone the repository to your local machine:

git clone https://github.com/gaganchapa/MNIST/tree/main

Running the Application

To run the recognizer, execute the following command:

python GUI.py

Sample Output: