• Dr. C. Mahiba
• Advika Shalini Naidu
• Afnan S
• Akshata Mudmal
• Charitha Poonacha

Communication plays a vital role in our day-to-day life. Humans communicate in several different ways out of which oral communication is the most prominent one. In the case of deaf and dumb people who cannot communicate orally, communication has been on a downside. For people with inability to communicate orally hands have been a major connection for communication, sing language is the method that is used to communicate through visual signs instead of spoken words. The sign language is difficult to understand by all. Across that globe 1.5 billion people that is 20% of the global population have hearing disability and around 5% of global population according to over 360 million people have lost their ability to speak as per the World Health Organization (WHO), the tools developed for communication for such people are much sophisticated equipment’s such as smart gloves and hearing aids that come with higher cost and complexity. To overcome this and make communication easier and cheaper for the deaf-mute. This paper concentrates on a machine learning model that provides an interface for communicating through sign language that can convert sign language into text and speech. This machine learning model uses Convolutional Neural Network (CNN) that captures real time images through cameras in smartphones or web cameras in computer devices and provides the interpretation of the sign. The model aims at converting two major types of sign language American sign language (ASL) and Indian sign language (ISL). This paper deals with methods and technologies that could create a machine learning model that provides accurate and cost friendly communication for the impaired.

Graphical User Interface (GUI), Convolutional Neural Network (CNN), MATLAB, Indian Sign Language (ISL), American Sign Language (ASL), Gesture Recognition, Eigen value, Eigen Vector, Feature Extraction

"Sign Language Recognition for Dumb and Deaf", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.g439-g443, March-2023, Available :http://www.jetir.org/papers/JETIR2303666.pdf

"Sign Language Recognition for Dumb and Deaf", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppg439-g443, March-2023, Available at : http://www.jetir.org/papers/JETIR2303666.pdf