SkinCue: Skin Coach

SkinCue reads your skin and builds a routine around it. Take three photos — front, left, right. SkinCue analyzes them and gives you a clear picture of what your skin is doing right now, then turns that into a morning and evening routine you can actually follow. WHAT EVERY SCAN READS Ten signals: acne, pigmentation, oil balance, hydration, texture, redness, elasticity, dark circles, pore visibility, and UV damage. Mapped across eight areas: forehead, both cheeks, chin, nose, under-eye, jawline, and neck. You also get an overall skin score, your skin type, and a skin age estimate. YOUR ROUTINE Based on your scan and what you tell us about your goals, skin type, and how consistent you are, SkinCue builds a morning and evening routine — with the reasoning behind each step, the ingredients to prioritize, and the ones to skip. TRACK WHAT CHANGES Scan again whenever you want. SkinCue keeps your history, compares against your baseline, and shows you what's moving. Set reminders so the routine actually happens. WHAT'S IN THE APP - Three-angle face scan with AI analysis - Ten skin signals scored on every scan - Eight-region breakdown of your face - Skin score, skin type, and skin age estimate - A personalized morning and evening routine - Ingredient guidance — what to use, what to avoid - Progress tracking with side-by-side comparison - Routine reminders - Your scans stay private to your account. Delete them any time. A NOTE ON WHAT THIS IS SkinCue gives cosmetic skincare guidance. It is not a medical device and does not diagnose. It can't detect skin cancer or other medical conditions, and it can miss things a clinician would catch. If you're worried about a mole, a spot that's changing, or anything that won't heal, see a doctor. Your photos are sent securely to be analyzed by AI (provided by OpenAI) and saved to your private account. We never share or sell them. Privacy Policy: https://k-dudhat.github.io/skincue-legal/privacy.html Terms: https://k-dudhat.github.io/skincue-legal/terms.html Support: https://k-dudhat.github.io/skincue-legal/support.html