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AI Skincare Scanner & Skin Health Platform
How M TECHUB LLC built an AI skincare scanner serving 8M+ users with multi-modal scanning, ingredient safety scoring, Webby Award recognition, and partnerships with the Skin Cancer Foundation.
Users
8M+
Users
Double Webby Winner
The Scope
Project Overview
M TECHUB LLC handled end-to-end product strategy, UI/UX design, development, QA, and launch for OnSkin a Health & Beauty Tech platform powered by AI, Computer Vision, and a 2M+ product ingredient database used by 8M+ users worldwide.
Project Details
Industry
Health & Beauty
Platform
iOS, Android
Timeline
1 Year+
Team Size
6 Specialists
Location
United States (Miami, FL)
Tech Stack
React Native, Node.js
The Challenge
Building OnSkin meant solving one of the most data-intensive challenges in consumer health tech scanning millions of cosmetic products in real time, scoring ingredients against global toxicology databases, delivering personalized skincare guidance through AI, and scaling a trusted community platform to 8 million users without compromising speed, accuracy, or safety.
Multi-Modal Scanning
Supporting barcode, photo, and text search across 2M+ products with real-time AI-powered safety results.
AI Safety Scoring Engine
Computing accurate 100-point ingredient safety scores using IARC, California EPA, and European Commission data.
Scale to 8M+ Users
Building infrastructure capable of handling millions of daily product scans with sub-2-second real-time results.
AI Skin Helper Chatbot
Delivering conversational AI responses to real-time skincare queries with personalized, science-backed guidance.
Ingredient Data Integrity
Maintaining a clean, up-to-date database of 2M+ products with verified ingredient data across global markets.
Community Trust & Moderation
Scaling a user-generated skincare community while maintaining safety, accuracy, and brand trust at 8M+ users.
Regulatory Compliance
Aligning AI safety scores with IARC, California EPA, and European Commission standards across jurisdictions.
Apple & Play Store Approval
Navigating App Store health app guidelines and achieving first-submission approval on both iOS and Android.
Our Solution
M TECHUB LLC engineered a complete AI skincare ecosystem for OnSkin, focused on scientific accuracy, real-time scanning performance, personalized recommendations, and a trusted community experience.
01
Product Scanner
02
AI Safety Score Engine
03
AI Skin Helper Chatbot
04
Community Forum
05
Scan History & Trends
06
Safer Alternatives Engine
07
Ingredient Deep-Dive
08
Admin & Analytics Dashboard
Key Features We Built
Engineered for scientific accuracy and real-world skincare impact across 8 million users and 2 million products.
1
Product Scanner
Barcode, photo, and text search across 2M+ products with instant AI-powered safety results.
2
AI Safety Score Engine
100-point ingredient safety scores referencing IARC, California EPA, and European Commission toxicology data.
3
AI Skin Helper Chatbot
A conversational AI assistant answering real-time skincare queries with personalized, science-backed guidance.
4
Community Forum
User-generated skincare discussions, product reviews, and expert tips across an engaged global community.
5
Scan History & Trends
A personal log of all scanned products with safety trend analysis and product comparison over time.
6
Safer Alternatives Engine
AI-curated substitutes for harmful products matched by category, skin type, and ingredient profile.
7
Ingredient Deep-Dive
Granular per-ingredient breakdowns with risk levels, sourcing data, and regulatory status worldwide.
8
Admin & Analytics Dashboard
Backend management for product database updates, user analytics, AI model tuning, and content moderation.
User Experience Design
The design focused on clarity, trust, and scientific credibility. Every screen was built to make complex ingredient data feel simple and actionable with bold safety indicators, clean scan flows, and a dark-accent interface that reinforces the platform’s authority as a trusted skin health companion.
- Clean, modern interface that makes complex ingredient data feel simple and trustworthy
- Intuitive scan-first navigation with minimal learning curve for first-time users
- Mobile-first experience with responsive layouts across all iOS and Android screen sizes
- Accessible design following platform guidelines for inclusive, cross-demographic usability
Technical Architecture
Built with a scalable, AI-driven architecture that ensures real-time scan accuracy, ingredient data integrity, and secure performance across 8M+ users.
Mobile App
Backend API
Database
Payment Gateway
Our Development Process
1
Discovery
Understanding OnSkin’s vision, target demographics, regulatory constraints, and user skincare behaviour patterns.
2
Market Analysis
Competitive research across AI beauty apps, ingredient scanners, and skin health platforms globally.
3
Technology Selection
Choosing Computer Vision, AI/ML, React Native, and Node.js for a scalable, science-backed skincare platform.
4
Design & Development
UI/UX design and agile development of the scanner, safety engine, AI chatbot, and community features.
5
Testing & QA
Rigorous testing of scan accuracy, AI scoring logic, ingredient data integrity, and cross-platform performance.
6
Launch & Support
App Store and Google Play submission plus 3-6 months of post-launch monitoring, optimization, and support.
Project Outcome
- 8 million+ users worldwide across iOS and Android
- 2 million+ cosmetic products analyzed and scored
- Double Webby Award Winner 2024 Health & Beauty category
- Featured in Forbes, CNN, Vogue, and Allure magazine
- 4.7-star app store rating from verified global users
- Official partnership with the Skin Cancer Foundation
- Official partnership with the Skin Cancer Foundation
- Real-time scan results delivered in under 2 seconds app-wide
Impact Highlights
48+
Weeks Timeline
30+
App Screens
8+
Core Modules
Dual
iOS + Android
1
Admin Panel
100%
Secure APIs
Want to Build a Health & Beauty Tech App Like This?
M TECHUB LLC can help you plan, design, develop, and launch your AI skincare, health tech, or beauty platform.