Inspiration
We want to try to make the society a more inclusive place in terms of communication for people with hearing disabilities
What it does
Our model is trained to convert the American Sign Language into English Language
How we built it
The project was built using python language and concepts from ML, NLP and Speech Recognition
Challenges we ran into
Finding an appropriate dataset to train our model was quite a difficult task
Accomplishments that we're proud of
We integrated concepts of Computer Vision, ML and NLP to try a project that we are proud of
What we learned
Concepts related to Computer Vision, Speech Recognition, Speech to Text and Classification.
What's next for Sign Language Interpretor
The model trained in python can further be integrated with web apps, mobile apps or chatbots in the future.
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