Gesture Vocalizer

Abstract

Sign language is the primary mode of communication for individuals with speech impairments, but it remains inaccessible to most ofsociety. Existing gesture vocalizer devices are costly, limiting their adoption, especially in developing countries. This paper presents a cost effective Gesture Vocalizer using an Arduino-based system, a combinational circuit with metal contacts instead of expensive flex sensors, and a mobileapplication for speech output. The system captureshand gestures, processes them via Arduino Mega 2560, and transmits the output via Bluetooth (HC05) to a mobile device, which then converts text tospeech. The results demonstrate an affordable,efficient, and user-friendly communication solutionfor the speech-impaired. This paper also discusses challenges, future enhancements, and real-world   applications of gesture-based assistive technology.