Prof. Ahmed gave an overview of face recognition using sophisticated algorithms, especially machine learning techniques. He said that face recognition using machine learning techniques has emerged as a powerful and reliable method for identifying individuals in various applications. Machine learning algorithms, such as deep neural networks, have revolutionized the field by enabling the extraction of meaningful features from facial images and learning complex patterns. The process involves training the model on a vast amount of labeled data, allowing it to learn discriminative features and create a robust representation of each face. Once trained, the model can accurately recognize and classify faces by comparing their features to the learned representations. This technology has widespread applications in security systems, access control, surveillance, and even social media platforms. With continuous advancements in machine learning and computer vision, face recognition has become increasingly accurate, efficient, and capable of handling real-world challenges, such as variations in lighting conditions, poses, and facial expressions.