Breaking Barriers: The Evolution of Sign Language Detection with Artificial Intelligence

Since the beginning of time, God has gifted us with the ability to hear and speak. People with hearing loss, on the other hand, use sign language as an alternative way of communication that consists of a collection of human actions that reflect a certain expression. Communication between verbal and nonverbal groups has grown difficult because members of the communities are unable to comprehend the meaning of sign language. This study describes the construction of a real-time sign language detection system utilizing a deep learning approach and combining artificial intelligence technology with object detection. This translator will be able to recognize hand motions and translate them into text output in the alphabet using object identification and comprehensive machine vision. This translator serves as a medium for disabled people to communicate and share their ideas with the rest of the community.