handwritten digit recognition model

[shalupatidar22]

Handwritten Digit Recognition Model using MNIST Dataset

This pull request adds a Convolutional Neural Network (CNN) model for handwritten digit recognition using the MNIST dataset. The model architecture includes the following:

Three Conv2D layers with ReLU activation
MaxPooling after each Conv2D layer
A fully connected Dense layer with 1000 units and a ReLU activation
Dropout layer to prevent overfitting
Output layer with 10 units and softmax activation for digit classification
The model is compiled with the Adam optimizer, sparse categorical crossentropy loss, and accuracy as the evaluation metric.

[github-actions]

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