A Visual Similarity Recommendation System using Generative Adversarial Networks

Our aim with this project is to develop a system that helps online stores suggest products similar to what a customer is looking at.We focus on fashion items.To do this, we use a sophisticated technology called Generative Adversarial Networks (GANs) to find images that closely match a given product picture.Almost every online shop now uses recommendation systems to help customers find things they might want to buy.Our system is designed specifically for fashion products.We've tested our approach against other advanced methods and shared our results using a common data.