Sign Language Recognition (Python)

• Sign language is complex, but many learn it to better communicate with people with hearing and speaking disabilities. However, not everyone knows it. An advanced AI project idea is a sign language recognition system. The one we are going to discuss here leverages Python .

• Working on this project is challenging. Hence, you need to understand many machine learning concepts, such as model training, perceptron, and multi-layer model development.

• Now, there are various ways to accomplish this model. One way is to leverage the World-Level American Sign Language dataset. It has more than 2,000 classes of sign languages.

• For training your model, you need to extract frames from the data and then load the Inception 3D model trained on the ImageNet dataset, a visual database of more than 14 million hand-annotated images. You must train a few dense layers on top of the model using frames from the loaded dataset.

• You can generate text labels for specific sign language gesture image frames by doing so. Once you’re done building the model, you can deploy it to help normal people communicate effectively with people with hearing or speaking impairments.