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.