A A Mobile Application for Sign Language Translation

A Mobile Application for Sign Language Translation using Mediapipe and OpenCV

Authors

  • Vishvanathan V Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, India
  • Vinoth R Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, India
  • Vignesh J Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, India

Keywords:

Sign Language Translation, Mobile Application, OpenCV, Real-time Translation, Mediapipe

Abstract

Sign language is the natural language used by Deaf and Mute people for communication, which is mainly expressed through hand gestures.This study is about creating an application for Deaf and Mute People which uses media Pipeline and OpenCV, The processing includes extract frame frame from the feed, process the image, detect hand landmarks, classification, conclude the output and The result is displayed as a text along with the overlay for the hands and the bounding box. This research studies whether it is possible to build such an application for the mobile platform with offline features.

Author Biographies

Vishvanathan V, Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, India

Vishvanathan V is pursuing a bachelor degree in B.tech Artificial Intelligence and Data Science from Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, from 2023. He aims to become a scientist in ISRO and He is interested in electronic and electrical related topics like IOT, electronic systems, embedded systems. He has a strong foundation in electronics and a forward thinking mindset. He believes in changing the world by creating a sustainable environment and he believes technology should be used for a meaningful purpose. He can be contacted at email:VISHVANATHAN.V.R@gmail.com

Vinoth R, Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, India

Vinoth R is pursuing a bachelor degree in B.tech Artificial Intelligence and Data Science from Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, from 2023. He is deeply interested in app development, with a strong focus on integrating data science, machine learning models, and financial technologies to build intelligent, user-centric applications. In addition, He is passionate about app marketing and distribution strategies, and He aspires to create innovative and viral apps that can reach and impact a global audience. He is also highly intrigued by the field of finance and enjoys exploring how data-driven insights can be applied to develop smarter financial solutions within mobile applications. He can be contacted at email: vinoth.r.2023.aids@ritchennai.edu.in

Vignesh J, Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, India

Vignesh J is pursuing a bachelor degree in B.tech Artificial Intelligence and Data Science from Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, from 2023. He aims to be a data analyst after graduating. He is well versed in various data analysis tools such as Power Bi, python and MongoDB. He is particularly interested in automation of data science projects with the help of machine learning. He is interested in leveraging AI To eliminate human errors and solve problems in daily life. He believes that while AI is very useful, it can never replace humans. He can be contacted at email: VIGNESHJ722@gmail.com

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Published

2025-06-11

How to Cite

Vishvanathan V, Vinoth R, & Vignesh J. (2025). A A Mobile Application for Sign Language Translation: A Mobile Application for Sign Language Translation using Mediapipe and OpenCV. International Journal of Information Technology, Research and Applications, 4(Special Issue), 42–50. Retrieved from https://www.ijitra.com/index.php/ijitra/article/view/124

Issue

Section

Special Issue (RIT, Chennai) - Applications of AI & IOT