Project Details
SheHacks+10 Computer Vision Project
A computer vision prototype focused on foundation shade matching and cross-brand beauty product recommendations using image analysis.
Overview
What the project does
This project explored how image analysis could help users find more personalized beauty product matches. The prototype focused on analyzing skin tone from uploaded images and using the result to support shade matching and recommendation logic.
Technical Flow
How it worked
Image Upload
Accepted user-uploaded images for analysis and testing.
Face Detection
Used computer vision tools to identify facial regions in the image.
Skin Analysis
Worked on extracting skin-tone information from detected image regions.
Shade Logic
Supported logic for matching analyzed tones with potential foundation shades.
Recommendations
Connected analysis results to product recommendation ideas.
Testing
Tested image examples and adjusted logic based on analysis output.
Tech Stack
Tools used
Learning Outcome
Applied computer vision to a real product idea.
This project helped me build experience with image analysis, testing uploaded images, and connecting technical outputs to user-facing recommendations.