Face Recognition System using FERET Dataset

Developed a face recognition system using the FERET dataset to classify and identify individuals with high accuracy. Implemented preprocessing pipelines for image normalization, feature extraction, and data augmentation. Trained deep learning models to improve recognition performance and evaluated results using accuracy and confusion matrix. Delivered a clear, reproducible workflow with code and documentation.