Abstract
The Deaf, Dumb, and Blind Community and the general public have a true communication difficulty. The advancements made during the automated signing recognition try to break down the communication barrier. Our commitment considers a recognition method based on the Microsoft Kinect, convolutional neural networks (CNNs), and GPU acceleration. CNNs are prepared to automate the procedure of feature construction rather than developing intricate handcrafted features.We have a high level of accuracy in recognizing gestures and sign language. We also created more modules to make communication easier for persons with diverse abilities.This Project Mainlyto help the deaf, dumb and blind community by using this project approach this community can be able to communicate like a normal human being for this have used different modules for that.
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