• Sanchia R Lakkarvi
• Syed Mohammed Saquib
• Dr Manjunath C R

Effective communication is a cornerstone of human interaction, yet hearing or speech disabilities in individuals require alternative communication beyond verbal expression. The absence of accessible communication channels poses significant barriers to their engagement in education, healthcare, employment, and everyday activities. The expressive hand gestures integral to this classical Indian dance form. With a dual focus on communication and cultural preservation alongside of technological innovation, employing machine learning to recognise Bharatanatyam sign language as a solution to bridge the communication divide, enabling better interaction between deaf individuals and the wider community this initiative aims to bridge the traditional and modern realms. By developing a learning, recognition and translation tool for Bharatanatyam sign language, these article proposed a model to enhance communication accessibility and potentially contribute to the development of autonomous systems for assisting Bharatanatyam individuals with hearing or speech disabilities.

mudra, CNN, LSTM, sign, gesture, feature extraction.

"SIGN AND MUDRA RECOGNITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.148-154, May-2024, Available :http://www.jetir.org/papers/JETIRGG06025.pdf

"SIGN AND MUDRA RECOGNITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp148-154, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06025.pdf