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ASL recognition platform - built by Celina Anwar, Nicole Hu, Madhumita Narayan, Shreya Perumalla

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ASL AI 🤟

Runtime

Try ASL AI here: https://asl-ai.streamlit.app/

About

All too often, we see that people who are hard of hearing are expected to adapt to the preferences of those with typical hearing. We believe that it's equally important to accommodate for the hard of hearing, and provide resources for able-bodied people to learn ASL. Our motivation is to bridge the gap between these two communities, and create a learning environment that is inclusive, supportive, and educational for all.

Usage

  • ASL Detection: Enter the letter you wish to sign, then take a picture of you signing the letter, preferably with your face out of the frame and a clear background. The model will give you feedback on how well you signed, and whether you need to adjust your form.
  • Text to ASL: Enter a letter you want to learn to sign, then receive a picture of how to sign it.
  • Resources: Further resources for learning ASL.

Team

Celina Anwar, Madhumita Narayan, Nicole Hu, Shreya Perumalla

UIUC Computer Science

Winning AI project for Code Ada 2023, Innovating Inclusion

Development

Built with Python, deployed on Streamlit

Contribution

If you have any feedback, feel free to submit an issue or pull request!

About

ASL recognition platform - built by Celina Anwar, Nicole Hu, Madhumita Narayan, Shreya Perumalla

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