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AI-Powered Skincare Scanner & Personal Skin Health Platform
Health & Beauty
About the app
OnSkin is an AI-powered skincare scanner trusted by 8M+ users to instantly analyze any product by barcode, photo, or name delivering unbiased safety scores, personalized skin-match analysis, and safer alternatives, developed by M TECHUB LLC and recognized as a Double Webby Award Winner 2024.
Location:Â United States (Miami, FL)
Skin Intelligence, Democratized.
OnSkin decodes cosmetic ingredients for everyday consumers with multi-modal scanning, AI safety scoring, personalized skin-type matching, an AI Skin Helper chatbot, community forums, and safer product alternatives.
Tech Stack:
React Native, Node.js, Mongodb, PostgreSQL
Duration: 1 Year+
Our challenge
Building an AI ingredient analysis engine scoring 2M+ products against authoritative scientific databases with multi-modal scanning, personalized skin matching, an AI chatbot, community forums, and a cross-platform experience scaling to 8M+ users while maintaining full scientific independence.
The Process
01
Discovery & Conceptualization
Understanding OnSkin’s vision for democratizing cosmetic ingredient safety through accessible AI.
02
Market Analysis
Gauging demand for ingredient transparency and gaps in existing skincare analysis tools.
03
Technology Selection
Choosing React Native, Node.js, computer vision, and ML-powered scoring for multi-modal analysis.
04
AI Engine Development
Building the safety scoring algorithm, skin-type matching, barcode/photo scanner, and AI chatbot.
05
Design & Development
Creating the Explore dashboard, scan interfaces, community forum, and personalized recommendation engine.
Science Meets Design.
M Techub integrated deep cosmetic science expertise with clean, modern UX building a user-friendly interface for skincare enthusiasts of all knowledge levels, from ingredient beginners to dermatology-aware consumers.
- Clean, visually calming designs for product scanning, safety scores, ingredient breakdowns, and community forums across iOS and Android.
- ML-powered ingredient scoring backed by IARC, California EPA, and European Commission databases delivering unbiased 100-point safety scores for 2M+ products.
- Every feature aligned with OnSkin's mission to empower consumers with transparent, science-based analysis free from brand influence.
- Computer vision for photo scanning, barcode recognition, and text search three seamless ways to analyze any skincare product instantly.
Adaptive Skin Intelligence.
An AI analysis system with barcode, photo, and text scanning; a personalized skin-matching algorithm; an AI Skin Helper chatbot; a community forum; and a safer alternatives engine all scores 100% unbiased and free from brand influence.
Informed Skincare, Finally.
OnSkin puts the science of cosmetic ingredients directly in consumers’ hands built by M Techub using machine learning, computer vision, and ingredient toxicology databases trusted by 8M+ users and recognised by Webby Awards and major global publications.
Project results
- 8M+ happy users worldwide, establishing OnSkin as one of the most trusted AI skincare platforms globally.
- Double Webby Award Winner 2024 in Education, Science & Reference Webby Winner and People'sVoice Winner.
- 4.7-star rating across App Store and Google Play, praised for ingredient accuracy and personalizedskin-match results.
- 2M+ cosmetic products analyzed the largest independent skincare ingredient database accessible toconsumers.
- Featured in Forbes, CNN, Vogue, Allure, Business Insider, HuffPost, Marie Claire, Women's Health, and 6+major publications.
- Partnership with the Skin Cancer Foundation merging AI innovation with skin health preventionawareness.
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We have helped 600+ companies transform their business with top-notch tech solutions.
- project@mtechub.com
- +1 650 567 5089