An Image-based Deep Learning Approach for Personalized Outfit Selection

In today's world, population is immensely increasing day by day. This increasing population has led to an increase in people's demand for modern fashion. From social media and magazines, people are getting attracted towards fashion products and desired to buy them. Therefore, to meet their demands, an image-based recommendations system is proposed in this research work. The significant contribution of this research is that a recurrent neural network (RNN) based upon Long Short- Term Memory (LSTM) is used and hence it performs much better than the existing work. The system basically takes a photograph of the demanded fashion products from users and suggests the most common features in the fashion products. In this way, this research work will help specialists, researchers, professionals, and e-commerce websites who are interested in fashion retailing, machine learning and related fields.