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merican Sign Detection Model is a deep learning-based system designed to recognize American Sign Language (ASL) gestures. It utilizes a CNN architecture for accurate classification of hand signs from images or live video feeds. The model is trained on a curated dataset and includes pre-processing scripts for data augmentation.

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American_Sign_Language_Detection_Model

merican Sign Detection Model is a deep learning-based system designed to recognize American Sign Language (ASL) gestures. It utilizes a CNN architecture for accurate classification of hand signs from images or live video feeds. The model is trained on a curated dataset and includes pre-processing scripts for data augmentation.

All libraries to install - cv2 (OpenCV), mediapipe, numpy, os, pickle, sklearn.ensemble, sklearn.metrics, sklearn.model_selection.

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merican Sign Detection Model is a deep learning-based system designed to recognize American Sign Language (ASL) gestures. It utilizes a CNN architecture for accurate classification of hand signs from images or live video feeds. The model is trained on a curated dataset and includes pre-processing scripts for data augmentation.

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