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ASL Recognition Model

An LSTM model that recognizes alphabets from the American Sign Language using Mediapipe and Tensorflow. It uses mediapipe to get landmarks of the left and right hands and passes it through the LSTM model.

Dependencies required

  • Tensorflow
  • Mediapipe
  • OpenCV
  • NumPy
  • scikit-learn

Installation: pip install tensorflow opencv-python scikit-learn numpy mediapipe

Working

After running the python notebook we get a webcam stream with the predicted alphabet displayed in the window as below:

image

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american sign language translation using opencv

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