Abstract:
SkinSage addresses a critical challenge in the beauty and skincare industry, helping users find products that are personalized, effective, and suitable for their unique skin tones and types. With the rise of online shopping, users often purchase skincare items without truly understanding their skin, resulting in dissatisfaction and wasted resources. SkinSage aims to solve this by combining artificial intelligence with mobile technology to create a smart skincare recommendation platform. SkinSage is a mobile application built using the Flutter framework, with machine learning integration for image analysis and a user-friendly questionnaire system to assess skin conditions. The application detects the user’s skin tone using AI-powered image processing and provides personalized skincare routines and product suggestions based on the user’s input. Features include manual shade verification, product reviews, and an admin dashboard for managing product data and user inputs. This project showcases how technology can revolutionize the skincare industry by empowering users with intelligent, reliable, and personalized beauty guidance.
