Use of Machine Learning Applications for Speech Impaired People

  • Rajeshri Pravin Shinkar


While sign language is very important to deaf-mute people to communicate both with normal people and with themselves; it is still getting little attention from the normal people. We, as normal people, tend to ignore the importance of sign language unless there are loved ones who are deaf-mute. One of the solutions to communicate with the deaf-mute people is by using the services of sign language interpreters. But the usage of sign language interpreters can be costly. A cheap alternative to replace the interpreters is the use of a model that can automatically translate their actions into words. This paper covers the development of such a model which helps to automatically detect our actions in real time using the Mediapipe model and translate the same into respective text format.

Keywords: Mediapipe, Gesture, sign language


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How to Cite
Shinkar, R. P. (2023). Use of Machine Learning Applications for Speech Impaired People. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 9(1), 61-66.