Cutting-Edge Technology: Exploring the Experimental Possibilities of Smart Virtual Wardrobe Design Using Internet of Things

Modern technological developments have mostly centered on three areas: communication, the workplace, and entertainment. Choosing an outfit is a daily struggle for everyone. The issue isn’t a lack of clothing; rather, it’s the inability to distinguish between those that you use frequently and those that have been in storage for quite some time. In addition to keeping tabs on your garments, a smart wardrobe can also provide outfit recommendations based on your calendar’s events. In order to assist you in deciding which garments to sell or donate, the system creates statistical data based on the frequency of wear. An intelligent wardrobe system for garment management, identification, and recommendation is suggested in this study, along with a virtual try-on system based on image processing. To test how well the suggested system works, it is cross-validated with the traditional model known as Virtual Wardrobe (VW). This system is dubbed Smart IoT Virtual Wardrobe (SIoTVW). In order to recognize and categorize the garments in the closet, the system makes use of machine learning algorithms and neural network based approaches. In order to provide the user with outfit recommendations that are suitable for various events and climates, the smart system also remembers their daily routine and clothing preferences. In addition, the system generates virtual fit-on dress models using image processing and neural network based approaches, allowing users to virtually try on various garments and view how they appear before deciding what to wear. In order to keep the clothes in pristine condition, the suggested system uses Internet of Things (IoT) sensors and application programming interfaces to track the wardrobe’s status, which includes illumination, humidity, and temperature. The system’s study reveals that it is capable of accurately detecting garments, offering clothing recommendations to users, and simulating virtual try-on dress models, which makes it an attractive option for contemporary garment management