Artificial Intelligence Generates Fashion Recommendations Virtually

Researchers from the University of Texas at Austin (UT-Austin), Cornell Tech, Georgia Tech, and Facebook AI Research have created an artificial intelligence system that can be used to give personalized fashion advice, published here. Now one of the projects under UT-Austin's Department of Computer Science, Fashion, was created with a philosophy of making minimal changes to maximize outfit fashionability. According to a press release from the UT-Austin, the system analyzes several factors of outfits, such as the color, pattern, texture, and shape, and gives recommendations based on this analysis. The researchers posted a video summarizing how Fashion works. A key component of how the system works is in machine learning.