Digit_Sign_Language

This project focuses on recognizing digit sign language using a Convolutional Neural Network (CNN) model. Initially, I worked with a dataset consisting of training and testing images representing hand signs for digits 0 to 9. I mapped each folder name to its corresponding images to assign labels to the data.

After building a basic CNN model, I progressively added more layers to improve its performance. As a result, the model achieved high accuracy.