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American Sign Language Interpreter

Clay Beaver, Neil Vora, John Boer, Mark Alcocer

Project Outline

For our project we developed a web application to predict sign language letters using a Machine Learning model. Our model is trained to interpret the 26 letters of the sign language alphabet. The user will use their web camera to show a hand sign, and our model will predict which letter they are presenting.

Technical Skills:

  • Python
  • Jupyter Notebook
  • Pandas
  • Scikit-Learn
  • Tensorflow
  • Numpy
  • OpenCV / cv2
  • HTML/CSS
  • JavaScript
  • Flask

Webpage Example:

Webpage Example

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