Fabric Fingerprint

Fabric Fingerprint is an innovative AI-powered fabric sourcing platform that revolutionizes how designers and manufacturers discover materials. This cutting-edge solution addresses a critical pain point in the fashion and textile industry by dramatically improving the efficiency of material discovery.

The platform leverages advanced machine learning algorithms to enhance keyword-to-fabric matching by an impressive 20-30%. This breakthrough technology transforms the traditional, time-consuming process of fabric sourcing into a streamlined, intelligent experience.

One of the most significant achievements of this project is the reduction of material discovery time from multiple minutes to under 30 seconds per query. This efficiency gain represents a substantial improvement in workflow productivity for designers and sourcing professionals.

The project gained recognition as an Innovation Challenge Finalist, where I had the opportunity to present the live prototype to judges and investors at the Perimeter College Innovation Challenge. This recognition validates the real-world potential and impact of the technology.