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Face Recognition Project

Developed a facial recognition program using Python, NumPy, K-Nearest Neighbours (KNN) algorithm, and OpenCV library for image processing. Program stores facial data in a NumPy file and achieves 90% accuracy in recognizing stored facial data. This project required expertise in image processing, machine learning, and programming.

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