Face Recognition based on machine learningFace Recognition based on machine learning
Dec 2022 - PresentDec 2022 - Present
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Developed a sophisticated machine learning project for face recognition, employing HOG (Histogram of Oriented Gradients) as the feature extraction technique, along with object detection. The project also incorporates K-Nearest Neighbors (KNN) as the classifier to make accurate predictions.
Additionally, designed and developed a Convolutional Neural Network (CNN) model for face recognition, demonstrating a comprehensive understanding of deep learning methodologies.
Key Highlights:
Implemented HOG for feature extraction and object detection
Utilized KNN for efficient and effective classification
Developed a state-of-the-art CNN model for enhanced face recognition accuracy
This project showcases my proficiency in machine learning techniques, feature engineering, object detection, and advanced neural network development.