Abstract

The skincare industry is booming, with an ever-increasing market share. In 2024, the Skin Care market is projected to generate a revenue of US$186.60 bn worldwide. Our project not only aligns with this growth but also contributes by offering a technologically advanced solution to skincare enthusiasts. Due to lack of awareness of personal skin type or condition, the influence of marketing strategies, and the prevalence of conflicting skincare advice, consumers often resort to a trial-and-error approach, exposing their skin to potential risks and frustrations. The modern brands readily provide different formulation of skincare product based on the type and condition of different consumers, but people often fail to choose the right products and to recognize their own skin needs. By merging IoT, computer vision, and machine learning, we empower individuals to make informed decisions about their skincare, promoting both health and beauty. This project aims to go beyond simple skin type detection; identification of anomalies, differentiation between various skin conditions, and, where necessary, providing tailored skincare recommendations. From daily skincare routines to addressing severe medical cases, including skin cancer detection, our project tries to guide users towards healthier and more radiant skin.