In the age of digital socializing, promptly sharing personal photos from events has become a priority, creating a demand for quick access to personalized images. Efficiently managing event photos, accurately recognizing attendees, and swiftly delivering personalized images to clients present significant challenges for photographers. Our project addresses these issues by employing advanced machine learning techniques for automated image labeling and recognition. The software we developed facilitates seamless photo management and delivery by leveraging face recognition and clustering methodologies. This enables automatic identification and organization of images, ensuring personalized photos are promptly delivered to clients via email. Our approach aims to streamline photographers' workflows, enhancing their ability to provide fast and customized services to their clients.