The OnSkin – Skincare & Cosmetic Ingredient Scanner app embodies high-end mobile app development infused with AI app development tailored for beauty and wellness use cases. By combining intelligent ingredient analysis, customized skincare assessment, and a user-first experience, I engineered a scalable mobile platform that turns confusing cosmetic labels into clear guidance. The app functions as a trusted digital cosmetologist—helping users understand product safety, identify ideal matches, and make confident decisions. Key Features: Barcode / Photo / Search Scanning – Users can decode skincare and cosmetic products using barcode scanning, product naming, or photo input. Science-Backed Safety Scoring – Ingredients are evaluated based on the latest dermatology and toxicology research, resulting in unbiased “Excellent,” “Good,” “Not Great,” or “Bad” safety labels. Personalized Skin & Hair Profile – A brief user survey tailors recommendations by skin type, concerns, and goals—creating personalized, dermatologist-informed outputs. Smart Product Matching – The app flags unsuitable ingredients and suggests safer alternatives that align with the user’s skin needs and preferences. All-in-One Beauty Scanner – Beyond skincare, OnSkin analyzes haircare products, offering transparency and suitability insights across product categories. Ingredient Library & Submission Flow – Users can submit unlisted products for analysis and gain safety breakdowns—even for new or rare formulas. Trust & Transparency Focus – All ingredient breakdowns are backed by science and independent experts, ensuring no brand bias and maximizing user trust. Scalable SaaS Backend – Built with a SaaS-style backend architecture supporting rapid ingredient analysis, routine updates, and a growing database.