The proposed model performs a sequence of operations including image preprocessing, feature
extraction using deep learning techniques, followed by classification through a trained neural
network. It begins with input normalization, applies convolutional layers for pattern detection,
and concludes with fully connected layers for final decision-making. Evaluation metrics validate
accuracy and performance at each stage.