Real Time Assistive System for Deaf and Dumb Community

Real Time Assistive System for Deaf and Dumb Community

Ashish Dandade, Pranav Tayade, Rushikesh Patil, Jayant Mitkari

1Ashish Dandade, Information Technology , SSGMCE Shegaon.

2Pranav Tayade, Information Technology , SSGMCE Shegaon.

3Rushikesh Patil, Information Technology , SSGMCE Shegaon.

4Jayant Mitkari, Information Technology , SSGMCE Shegaon.

---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - People communicate with other people by utilizing words that come from various different tongues, but  if somebody is deaf or dumb and incapable to listen or talk? People who are deaf or dumb must use a particular sign for communication purposes. A person with translation skills is required since not everybody grasps sign language, which breaks down interaction between sensing of deaf/dumb people. An automated model that identifies hand gestures and conduct the same job as translators could have a beneficial impact on the social lives of these hearing and speech impaired people because interpreters aren't always readily available. Applying the YOLOv5 machine learning model, hand motions have been learned and predicted. It will have many applications such as, online communications, Touchless operating,  Human-Computer Interaction (HCI).

Key Words:  Machine Learning, YOLOv5, Sign Language, Python.