Glam Face Ai
Zouhir Laoulaou
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Posted Jan 28, 2025
An AI-Powered Makeup Assistant Built with React Native & Computer Vision. It's a mobile application designed for women.
Glam Face Ai — AI‑Powered Makeup Assistant
Project Overview
Glam Face Ai is a mobile application designed for women that analyzes a bare‑face selfie using artificial intelligence to generate personalized makeup routines, product recommendations, and beauty tips.
The goal of this project was to demonstrate how AI can be integrated into a consumer mobile app to deliver hyper‑personalized experiences while remaining scalable, monetizable, and production‑ready.
This project was built as a full product MVP, showcasing both technical execution and product thinking.
The Problem
Most beauty and makeup apps rely on generic tutorials and influencer looks that do not account for individual facial features, skin tone, or face structure.
Users often struggle to recreate makeup looks because:
Tutorials are not adapted to their unique face shape
Product recommendations are too broad
There is no personalized, step‑by‑step guidance
This leads to frustration, low engagement, and poor long‑term retention.
The Solution
Glam Face Ai solves this problem by acting as a personal AI makeup assistant.
Users upload a selfie without makeup, and the app analyzes key facial features such as:
Eye shape and size
Lip structure
Face proportions and shape
Skin tone and undertone
Based on this analysis, the app generates:
Personalized makeup routines
Product recommendations tailored to the user’s features
Practical beauty tips designed for beginners and non‑experts
The experience is designed to feel intuitive, supportive, and personalized — not generic.
Key Features
Glam result with desired makeup
AI‑powered facial feature analysis
Personalized makeup routines
Step‑by‑step beauty guidance
Product recommendations with affiliate monetization
Clean, mobile‑first UI designed for a female audience
Scalable architecture ready for subscriptions and growth
Tech Stack
Frontend: React Native (Expo)
Backend & Authentication: Appwrite
AI: Face++, OpenAI (vision analysis + structured prompt engineering), a makeup space on HuggingFace.
Monetization: In-app purchase handled by Superwall
Design: Custom mobile UI with a focus on clarity and usability
Other: Google custom json search API for relevant product search
My Role
I handled the entire product lifecycle end‑to‑end, including:
Product ideation and feature planning
UX flow and onboarding design
AI prompt engineering for facial analysis and recommendations
Frontend development using React Native
Backend setup, authentication, and data handling
Monetization strategy and scalability planning
This project demonstrates my ability to build AI‑powered mobile products from concept to MVP.
Visual Design & UX
The interface was designed to be:
Simple and confidence‑building for users
Mobile‑first with clean layouts
Focused on clarity and actionable results
The UX prioritizes ease of use, especially for users with no makeup experience.
Potential Impact
Although still in MVP stage, Glam Face Ai demonstrates how AI‑driven personalization can:
Increase user engagement through tailored experiences
Improve retention by adapting content to individual users
Enable scalable monetization through subscriptions and affiliate partnerships
The project can be extended into a full consumer beauty platform.
Conclusion
Glam Face Ai reflects my ability to design and build AI‑powered mobile applications that combine strong UX, technical depth, and business strategy.
I now help founders, coaches, and brands turn ideas into scalable AI‑driven products — from MVP to production.