Paper Contents
Abstract
This paper presents SkinSync, an AI-driven skincare advisory platform that integrates deep learning, advanced image processing, and extensive user-contextual data to produce personalized skincare routines and targeted product recommendations. Drawing from a comprehensive literature review covering 22 pivotal studies in the fields of skin analysis, cosmetic suggestion, and machine learning applications in dermatology, SkinSync is distinguished by its holistic approach and universal accessibility. With a strong emphasis on inclusivity, SkinSync is offered free of charge, ensuring that individuals from all socioeconomic backgrounds, ethnicities, and regions have access to expert-level skincare guidance. This paper details the systems architecture, methodology,experimental validation, and discusses its societal and ethical implications, with real-world examples illustrating its efficacy and potential.
Copyright
Copyright © 2025 Arbaz Khan . This is an open access article distributed under the Creative Commons Attribution License.
