• Deepa S R
• Dhananjaya S
• Kiran V Dambal
• Goutham M
• Ganesh A

Hand Gesture is the most basic technique for conversation amongst humans. Today in the time of current day innovation, gesture recognition affects the world in a different way, from physically challenged individuals to robotic control. Human hand gestures provide a natural and effective approach to non-verbal conversation with the computer system. The deaf and mute make use of sign language to communicate which is difficult to interpret by the individuals who are not well-aware of it. There is a need to build a device that can interpret the gestures into text and speech. To tackle this problem, the system created here will use the Deep Learning Model created using Tensorflow to interpret the gestures, capture the image, and finally, use it to give the result of the gesture shown by the user.

Hand Gesture, Tensorflow, Deep Learning, Image Processing, Computer vision, Text, Audio.

"Hand Gesture Recognition for Differently Abled People", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.b311-b314, April-2022, Available :http://www.jetir.org/papers/JETIR2204140.pdf

"Hand Gesture Recognition for Differently Abled People", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppb311-b314, April-2022, Available at : http://www.jetir.org/papers/JETIR2204140.pdf