Fashion Recommender System (FRS): Image Based Engine for Personalized Outfit

The methods used to predict how highly a person will evaluate product or group of people are known as recommendation systems. Books, movies, restaurants, and other products can be among the things commonly recommended. Objects where differ in their preferences matter lot. For predicting 2 used, one content based approach that considers characteristic an item, is collaborative method evaluates choices by taking into account previous user behaviour. In this paper, system for recommending fashion items proposed, base its recommendations on provided clothing images' styles. upper body lower images, well those human model, main focus work. We have image dataset from Kaggle website. This paper presents idea develop uses convolutional neural network ResNet-50.