A master's thesis at the College of Computer Science and Information Technology at the University of Basra discussed sign language gestures using deep learning. The thesis of researcher Buthaina Murad Jameel, a student in the Department of Computer Information Systems, included building an application to identify sign language gestures and actions so that deaf and hard of hearing people can easily communicate with those who do not understand sign language. Through deep learning methodology, a method is presented to classify several types of hand movements, such as:  Cutting fingers, turning fingers, turning the hand, and calling.