Face Recognition Using AI

In a face recognition project using AI, AT&T's face dataset can be leveraged for training and evaluating model performance. By applying various machine learning algorithms like K-Nearest Neighbors (KNN) and Principal Component Analysis (PCA), the system can learn to distinguish between different individuals' faces. Achieving an accuracy of around 97%, this project demonstrates robust recognition capabilities, making it suitable for security and identity verification applications. Advanced AI algorithms enhance the precision of face matching by analyzing unique facial features, ensuring reliable identification across diverse datasets.