This is a jupyter notebook program to train and detect the hand gestures of american signlanguage using LSTM and Mediapipe
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Updated
Mar 2, 2023 - Jupyter Notebook
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mediapipe-hands
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This project utilizes computer vision techniques to recognize and interpret hand gestures, allowing for a more intuitive and natural way of interacting with computers. The project includes a Jupyter notebook that contains the code for detecting and tracking hand landmarks using the MediaPipe Hands library and OpenCV.
python
opencv
machine-learning
computer-vision
human-computer-interaction
pyautogui
hand-gesture-recognition
mediapipe-hands
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Updated
Mar 15, 2023 - Jupyter Notebook
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