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# Handwritten Digit Recognition

This project implements a Convolutional Neural Network (CNN) to recognize handwritten digits using deep learning.

## Features

- CNN-based digit classification

- Model training and evaluation

- High test accuracy

- Live prediction support

## Technologies Used

- Python

- TensorFlow

- Keras

- NumPy

- Matplotlib

- OpenCV

## How to Run

1. Install dependencies:

pip install -r requirements.txt

2. Train the model:

python train.py

3. Test the model:

python test.py

## Results

![Model Accuracy](accuracy_results.png)

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CNN-based handwritten digit recognition system using TensorFlow and Keras with high test accuracy.

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