Project Details
Neluma
Neluma is an AI-powered beauty technology app designed to analyze skin tone, undertone, and facial features to support personalized beauty recommendations and makeup artist workflows.
Overview
What the project does
Neluma focuses on helping users better understand their skin tone and undertone through image analysis. The project is designed around two user groups: clients looking for shade guidance and makeup artists who may need quick access to client analysis results.
Technical Work
What I built
Backend API
Built FastAPI endpoints to process image uploads and return analysis results.
Image Analysis
Used OpenCV and MediaPipe to support face detection and skin-region extraction.
Shade Matching
Worked on logic to classify undertones and return foundation shade suggestions.
iOS Planning
Planned SwiftUI screens for client/MUA flows, onboarding, and analysis results.
Database Planning
Explored Supabase for storing analysis history, profiles, and user permissions.
Testing
Tested image uploads, backend responses, and different image examples locally.
Tech Stack
Tools used
Status
Backend prototype and app planning in progress.
This project is currently being developed as an AI-integrated beauty technology app with image analysis, shade matching, and future MUA/client workflows.