AI Beauty & Skincare App

AI-powered skin analysis and virtual makeup try-on for personalized beauty recommendations and glow-up visualization.

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Inspiration

We wanted to build an AI-powered beauty assistant that makes skincare and makeup recommendations more personalized, interactive, and accessible. Many users struggle to understand their skin type, choose the right products, or visualize makeup looks before buying. GlowAI solves this by combining AI skin analysis, virtual try-on, and generative AI visualization into one seamless experience.

What it does

GlowAI is an AI Beauty & Skincare web app that allows users to:

  • Capture their face using a webcam
  • Analyze skin conditions using AI
  • Detect concerns like acne, dark spots, pores, oiliness, and hydration
  • Receive personalized skincare routines
  • Virtually try on makeup looks
  • Generate an AI-powered “glow-up” visualization
  • Download and share results

The app provides a modern and interactive beauty-tech experience powered by Perfect Corp APIs.

How we built it

We built GlowAI using:

Frontend

  • React 18
  • Tailwind CSS
  • Glassmorphism dark UI
  • Responsive mobile-first design

Backend

  • Node.js
  • Express.js

APIs & AI

  • Perfect Corp Skin Analysis API
  • Perfect Corp Virtual Try-On API
  • Perfect Corp Generative AI APIs

Deployment & DevOps

  • Docker
  • AWS EC2
  • Nginx reverse proxy
  • GitHub Actions CI/CD pipeline

We designed the UI with a premium futuristic aesthetic using deep navy, electric purple, and gold gradients.

Challenges we ran into

  • Handling webcam permissions and real-time image capture
  • Parsing and formatting complex AI analysis responses
  • Optimizing image uploads and API performance
  • Maintaining responsive UI across devices
  • Managing async API calls with proper loading and error states
  • Integrating multiple AI services into a single smooth workflow

Accomplishments that we're proud of

  • Successfully integrated AI-powered skin analysis
  • Built real-time virtual makeup try-on functionality
  • Created an elegant and modern UI/UX
  • Implemented personalized skincare recommendations
  • Added AI-generated glow-up visualization
  • Designed a scalable full-stack architecture with deployment support

What we learned

During this project we learned:

  • AI-powered beauty technology workflows
  • Advanced React component architecture
  • Image processing and webcam integration
  • API orchestration and backend optimization
  • Cloud deployment using AWS EC2 and Docker
  • Importance of user-centric UI/UX design in AI applications

What's next for AI Beauty & Skincare App

Future improvements include:

  • Real-time skin tracking history
  • AI dermatologist chatbot
  • Personalized product marketplace
  • AR-based live beauty filters
  • Mobile app version
  • Multi-language support
  • User authentication and cloud profile storage
  • AI-based seasonal skincare recommendations

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