Arabic Sign language Recognition model

A sophisticated Convolutional Neural Network (CNN) model designed for recognizing Arabic Sign Language (ArSL) from image data. This project leverages the power of deep learning, specifically the MobileNetV2 architecture, to accurately classify sign language gestures. This solution aims to bridge the communication gap for the deaf community, facilitating more inclusive and effective interaction.