AI-Powered Jewelry Matching App

The Challenge

A lifestyle startup wanted to develop a mobile app that delivers personalized jewelry recommendations based on individual style preferences. The core challenge was building a recommendation algorithm that learns from user behavior and generates relevant suggestions.

Our Approach

As lead engineer, we developed a swipe-based matching app with a personalized recommendation system. The architecture comprised a modern frontend with intuitive UI/UX, a Directus-based backend for data management, and an AI-powered algorithm that analyzes and refines preferences in real time.

The Results

After 16 months of development, a fully functional matching app with personalized recommendations was delivered. The algorithm achieved a match accuracy of over 85% and was taken from prototype to production-ready solution.