Sign Language Interpreter

ASLscribe

About The Project

This project was initialised during Hack MIT 2020 . We decided to make a Sign Language Translator as we felt it as a socially relevant and technically feasible objective. We got a well diverse dataset form kaggle and we started building a CNN and built a model that can understand all the alphabets used in ASL and can help the other person communicate with deaf people. Real time prediction makes this project useful in our lives. Integration with Flask to host this as a web app for others to access escalated the usability.

Here are the resources that we found helpful are listed in the acknowledgements.

Demo

click this

Built With

• Python
• Tensorflow
• OpenCV
• Flask

Contributors

• Nanda Kishor M Pai
• Muhammad Haseeb Kamal
• Antony S John

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Acknowledgements

• ASL Dataset