Published Paper Details:

For years in Western culture, sign language has been an ancient visual language and method of communicating. It consists of the use of traditional signs, gestures or a manual alphabet using your hands to assist with signing. The Machine Learning-based sign language identification system is a project that allows someone who has a disability to communicate and provide an output from sign language into text or audio; therefore, the machine can read the signs, and the machine will know what the user is trying to say even if the user has no knowledge/sign language. To provide better services to disabled individuals is the purpose of this project through advanced technology. The purpose of Sign Language is to communicate the user's need for information. The Project will capture sign language using specific technologies and will provide an audio notification of its result on the website. The Project is developed using Machine Learning technology and other advanced technologies. The purpose of the Project is to use hand sensors used to detect sign/capture sign as input to identify the needs of the disabled person. The purpose of the project is to provide a path for helping the world through humans.