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Controlling Media Player With Hand Gestures Using Convolutional Neural Network
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An application to control media player from distance using hand gestures. It was developed by creating a hand gestures dataset using OpenCV, building a 2D CNN model for feature extraction and classification, and integrating the Keyboard keys to hand gestures using the PyAutoGUI library. whenever a gesture is predicted, the corresponding action is performed on the Media Player. Also, created a user interface using the Streamlit web framework and deployed source files with demo using streamlit.io
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