A Novel Development of Virtual Wardrobe Design Based on Artificial Intelligence and Internet of Things Enabled Technologies

Almost every day, every person encounters the dilemma of what to wear. The issue is not that the users lack access to a sufficient number of outfits to wear; rather, it is that they are unable to keep track of the clothing they keep donning and have not touched in a long time. Not only does a smart wardrobe assist the user in maintaining a record of their clothing, but it also provides recommendations for what to wear based on the user's calendar events. The system generates statistical reports that reflect the frequency of utilization of the clothing, enabling the user to determine which ones are suitable for donation or sale. Additionally, a mobile application enables users to manage their clothing from any location. In this study, a novel approach is introduced, the IoT Virtual Wardrobe (IoTVW), which is cross-validated against the conventional model Classical Controller-Assisted Wardrobe (CCW), with the assistance of the Internet of Things (IoT) and Artificial Intelligence (AI). The proposed scheme is evaluated for its efficiency. The primary objective is to integrate a collection of technologies into a system that can be utilized to assist the user in the planning of their clothing. To accomplish this objective, it is imperative that we are capable of distinguishing between garments that are frequently worn and those that are seldom worn. It is necessary to organize our clothing into categories such as casual, formal, and function wear. The application will furnish statistics that illustrate the garments that are frequently worn and those that have not been handled in an extended period.