In the previous part, we systematically reviewed the background and recent advances in both 2D and 3D facial aesthetics research, covering a wide range of techniques including image preprocessing, landmark localization, feature extraction, beauty score prediction, facial image enhancement, 3D face reconstruction, 3D facial beauty prediction, and 3D facial beautification. Building on these theoretical foundations, this chapter introduces the software and devices that enable practical applications. Specifically, we focus on three core aspects: Facial Landmark Detection, which is one of the key steps in face image processing and geometric feature extraction; Facial Attractiveness Prediction, which leverages computational models to assess facial aesthetic automatically; and Facial Beautification, which integrates advanced algorithms for automated attractiveness enhancement. Together, these components constitute an AI-driven facial aesthetic analysis application.