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Face Track

We built FaceTrack, a bilingual web platform that uses face recognition to find each guest’s photos in event galleries from a single selfie, along with its landing site.

Type
Web Application
Sector
Photography & Events
Technologies
  • Next.js
Face Track project cover: the product on device screens
face-track.app
Face Track home page
Face Track mobile app screen

About the project

FaceTrack is a platform that helps guests at weddings, corporate events, concerts and graduations quickly find their own photos among the professional shots taken on the day. Instead of scrolling through thousands of images, each person sees only the photos they appear in.

We developed the web platform and its landing site: users sign up and upload a selfie, and once an event gallery is uploaded, face matching lets them view and download their photos. We explained the three-step flow in plain language, added use cases for different event types and prepared the site in Turkish and English.

  • AI profile from a selfie
  • Face recognition photo matching
  • Sign-up and login
  • Use cases by event type
  • Turkish and English interface

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