• Aryan Samsukha
• Siddhanth Suresh
• Sanjana Natraj

Inability to speak is a true disability and there are various methods of communicating and among one such method is sign language . Understanding sign language is one such important task and it may involves a interpreter ,which may costs more . To ease the use of interpreter we created a software which is free of use and which can be modifiable for every interactive user. This project's purpose is to create a vision-based system that can recognise sign language motions in video sequences. A vision-based approach was chosen because it provides for a more straightforward and intuitive flow of data between a human and a computer. The programme has a 93 percent accuracy rate in terms of quality.

ASL (American Sign Language), ISL (Indian Sign Language), CNN (Convolutional Neural Network), RNN (Recursive Neural Network), LSA (Argentinian Sign Language).

"A Review on Scrutinizing Sign Language Interpreters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.69-71, June-2022, Available :http://www.jetir.org/papers/JETIRFM06012.pdf

"A Review on Scrutinizing Sign Language Interpreters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp69-71, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06012.pdf