Graduation Project:Class Attendance System by Face Recognition

• •Utilized OpenCV, face_recognition, and pickle for model saving and preprocessing.
• •Implemented PCA (Principal Component Analysis) for dimensionality reduction and SVM (Support Vector Machine) for accurate face identification.
• •Achieved 98% accuracy in face recognition using the model.
• •Automated attendance tracking and CSV file generation for efficient data handling.