Project Overview

- Conducted a detailed comparative study of traditional algorithms vs. deep learning methods for face detection. - Analyzed techniques like Haar Cascades, HOG + SVM, and CNN-based models (e.g., MTCNN, YOLO). - Evaluated performance using accuracy, speed, and robustness under varied lighting and angles. - Implemented and tested models using Python, OpenCV, and TensorFlow. - Published in IEEE and received the Best Paper Award for innovation and clarity of analysis.

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Arpita Gupta

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