Skin Care Product Recommendation Using Skin Images

Abstract

In today’s era of personalized wellness and digital
convenience, recommending appropriate skincare
products tailored to individual needs has become
both a scientific and technological challenge. This
project focuses on the development of an intelligent
skin care product recommendation system that
leverages user-specific data such as skin type,
concerns (e.g., acne, dryness, sensitivity),
environmental conditions, and lifestyle habits. By
utilizing machine learning algorithms and
dermatological databases, the system analyzes
input parameters to suggest the most suitable
skincare routines and products. It aims to address
common issues of product mismatch and allergic
reactions by offering recommendations grounded in
evidence-based skin science. The integration of AI
not only enhances the accuracy of suggestions but
also provides users with real-time feedback and
updates based on seasonal or behavioral changes.
This project holds significant potential in
transforming the skincare industry by enabling
personalized, data-driven decisions that improve
skin health and user satisfaction.