Skin Analytics Page
Profile Page
Dashboard Page
Landing Page - Light
Products List Page
How it works Page
Google OAuth2.0 and Email/Password Sign In
Landing Page - Night
Credits Page

Glowify

Inspiration

We were inspired by Melaleuca’s mission to enhance lives across the globe — not only in grand, visible ways, but also in the microscopic details of everyday life. With the rapid evolution of artificial intelligence, we saw an opportunity to help those who struggle with persistent skin issues or feel limited by the lack of intelligent tools for skincare management. Glowify was born from the idea that technology can empower individuals to take better care of their skin, improve their confidence, and ultimately enhance their quality of life.

What It Does

Glowify leverages advanced computer vision models to analyze facial images and extract key dermatological insights.
Our AI examines multiple skin metrics, including:

Skin dryness
Wrinkle intensity
Dark circle depth
Oil concentration
Acne severity
Redness level
Pore size
Texture roughness

Using this analysis, Glowify generates a personalized skin health profile and matches users with Melaleuca’s best-suited skincare products, offering actionable insights and long-term tracking to monitor progress over time.

How We Built It

Frontend: Built using React, Vite, and TailwindCSS for a modern, responsive, and seamless user experience.
UI Design: Guided by Base44 design principles for visual consistency.
Backend: Powered by Python and FastAPI for high-performance API handling of image analysis and model inference.
Database & Storage: Managed by Supabase for scalability and security.
Deployment: Both frontend and backend were deployed on Render, ensuring reliable CI/CD and uptime.

Challenges We Ran Into

One of the main challenges was finding and fine-tuning vision models capable of accurately identifying subtle skin conditions.
Initially, we experimented with Roboflow’s acne and pimple detection models, but their accuracy and coverage was limited.

Eventually, we integrated an API with a multi-layered vision model capable of detecting multiple skin features such as redness, pores, and dryness. This integration required complex backend optimization as the integration with Roboflow's vision models were already completed, but it dramatically improved Glowify’s analytical precision and user value.

Accomplishments We’re Proud Of

We’re proud of how far we advanced in both technical development and user experience design:

Developed a functional, visually refined frontend
Built a secure token-based authentication system and integrated Google OAuth2.0 and credits-based monetary payment system
Integrated vision models with backend infrastructure
Achieved full-stack deployment on Render
Delivered a prototype that combines AI insights with a smooth user experience to enable users with value
History of users' dermatological journey by saving their scores of in different skin condition categories

What We Learned

During development, we deepened our understanding of:

The client-server model and HTTP communication for image data
Effective task separation, boosting productivity and clarity
Advanced Git collaboration, including conflict resolution and version control
Advantage of abstracting business logic into the backend, rather than placing some in the frontend

We learned that while intuitive “vibe coding” has its place, structured and deliberate, AI-driven development leads to more impactful and sustainable outcomes.

What’s Next for Glowify

Looking ahead, next steps for Glowify:

Develop a custom-trained vision model tailored to diverse skin tones and conditions
Offer seasonal and lifestyle-based Melaleuca-specific skincare recommendations
Launch mobile versions for iOS and Android or integrate with already existing mobile and web applications
Integrate LLM with Melaleuca's MCP server to equip the AI to become the most powerful and informative AI dermatologist

Our vision is to make Glowify the go-to AI-powered skincare companion, empowering everyone to achieve healthier, more radiant skin through personalized, data-driven insights.