Sign Language Recognition
The motivation behind Sign-Speak is presented, outlining the pressing need for effective communication tools for the mute community, and the technical aspects of the project, its implementation details, and the potential impact on enhancing communication accessibility for mute individuals are discussed.
Abstract
: Sign-Speak is an innovative web application designed to address the communication needs of mute individuals by employing sign language detection technology. In this paper, we present the motivation behind Sign-Speak, outlining the pressing need for effective communication tools for the mute community. The project leverages advanced technologies, including the Django framework for Python-based web applications, and utilizes a model trained with Google Teachable Machine to detect and interpret sign language gestures. It also encompasses the entire development process, from model training with a carefully curated dataset to the implementation of real-time sign language detection in a web environment. Additionally, Sign-Speak incorporates speech synthesis to provide a comprehensive solution for interpreting and vocalizing detected signs. This paper discusses the technical aspects of the project, its implementation details, and the potential impact on enhancing communication accessibility for mute individuals