Facial recognition technology, known for its precision and user-friendly interface, plays a pivotal role in security solutions. This study, entitled "Enhancing Face Recognition through Grey Wolf Optimization" focuses on the accurate identification of faces using trained images. Employing advanced machine learning techniques, specifically grey wolf optimization and enhanced capsule networks, the project makes significant strides in improving vector capture and classification accuracy, thereby elevating overall performance. The integration of these innovative techniques ensures the provision of highly precise values for vector classification and face recognition. With a specific emphasis on sectors such as Law Enforcement, Marketing, Advertisements, and Education, the research facilitates swift and accurate face recognition within a condensed timeframe, resulting in enhanced overall ....