Sign Language Translation Assistant using Machine Learning

One of the most important and greatest that have been achieved in the past few years is the invention of sign language. But unfortunately, it is not widely known by the common people and only the trained ones will be able to understand it thereby making it harder for the deaf-mute people to communicate with the common world. For solving this many inventions like sign language translating systems were also made. But for the existing systems there are many faults and misconceptions that reduce the accuracy of the system. In this model, camera of a smartphone device has been used to capture the images of the hand gestures as input and based on CNN model used to train the dataset of the proposed system it classifies the hand gesture inputs and give the text translations as the output of the system.