International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

EquiSign Dynamic Sign Language Translator

Author : V. Valarmathi ¹ S. Sowmiya ² M.Viswanathan ³

Date of Publication :4th July 2022

Abstract: This paper aims to address the problem of limited knowledge and outreach of the concept and structure of sign languages in order to facilitate better inclusion and integration of hearing-impaired people among their peers and general society as a whole. For the proposed system, the speech input is captured in real-time, converted into text using a machine-learning model based on natural language processing, and translate the text into the specified flavor of the sign language. The proposed system currently makes use of Python as it's core tech-stack.

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