AI RoomDecor

There is an increasing need for intelligent systems to improve interior design as smart home technologies advance. In this paper, we present a new method for recommending room decor, which makes use of the object identification model YOLOv3 (You Only Look Once version 3). In contrast to the conventional techniques, the proposed model makes decor recommendations for a room based on the necessary furniture and dimensions of the room. The proposed model is able to precisely identify and categorize different types of furniture and decor inside a picture of a room. Users receive customized recommendations that show them the way the decor items selected by them look in their living area and the size of items that suit that area. The degree of confidence with which the model can identify and suggest an image from the data set including the user-selected items is used to validate the results. The proposed model is tested with the products that are connected to the free IKEA APIs, which provided suggestions for every iteration of the item chosen by the user.