• SANKET PATIDAR
• PRATEEK JANI
• ASHOK MAKHIJA

Human beings interact with each other either using different language channel such as words, writing, or by gestures e.g. hand and head gestures, facial expression, lip movements and so on. Sign language is a natural language and as understanding natural language is important, understanding sign language is also worthwhile. Sign language is a communication method for people with hearing and speaking disability. People with hearing and speaking disabilities face problems in communicating with other hearing people without a translator. Even after decades of digitalization some abstract topics such as this one still remain unexplored. In this project, we have proposed an algorithm which is capable of extracting sign’s from a live video stream. We are working towards enhancement of deaf people’s social life by providing them this sign language orator which would help them to interact with people who are not familiar with sign language. This system can be used for professional conversations as wells as for day to day life chores. This algorithm will help us in converting video of frequently used full sentences gesture into a transcript and then finally convert it into speech. So the signs and their corresponding meanings will be interpreted and identified by using Haar Cascade Classifier. Finally the speech synthesizer will convert displayed text into audio.

"SIGN LANGUAGE ORATOR USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.488-492, November-2018, Available :http://www.jetir.org/papers/JETIR1811574.pdf

"SIGN LANGUAGE ORATOR USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp488-492, November-2018, Available at : http://www.jetir.org/papers/JETIR1811574.pdf