/American-Sign-Language-ASL-Recognition

The aim of this project is to recognize what the person is trying to convey using different hand gestures. The dataset contains 29 classes which comprises of A to Z alphabets, nothing, space and delete hand gestures. Here first we will first try training a Multi Layer Perceptron model and check its accuracy to recognize the gesture labels. Then we have used the CNN approach.

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