• Vanashree
• Janma A Saragodu
• Bhargavi Kulkarni
• Dr. Parvathraj K M M
• Prof. Daya Naik

This paper presents a user-friendly AI-powered Skincare Recommendation System designed specifically for Indian skin types, addressing the lack of personalized solutions in the skincare domain. By using advanced deep learning and image processing techniques [1][4][5][7], the system analyzes facial images to accurately determine skin types—such as oily, dry, combination, and sensitive—and identify common skin concerns. It harnesses the power of convolutional neural networks (CNNs) [4][7] to enhance image-based skin analysis [1][5], ensuring reliable results across diverse Indian skin tones. The system also features a rich database of skincare products, offering tailored suggestions based on ingredient compatibility, pricing, and user ratings—filling the gap between product promises and actual performance [2]. Beyond product recommendations, it includes home remedies and dietary tips, promoting a holistic approach to skincare. Built with an intuitive interface, the platform enables users to input their concerns and preferences, generating step-by-step skincare routines. By blending modern AI with culturally relevant care, this system empowers individuals to make informed and sustainable skincare choices.

AI-based skincare system for Indian skin types offering personalized routines using facial analysis, product data, and holistic tips.

"DERMAI: PERSONALISED SKINCARE RECOMMENDATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.755-761, July-2025, Available :http://www.jetir.org/papers/JETIRGX06140.pdf

"DERMAI: PERSONALISED SKINCARE RECOMMENDATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp755-761, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06140.pdf