Intelligent Wardrobe Management System: An AI Driven Approach for Automated Outfit Selection and Wardrobe Organization

In the current era of digitalization, a lot of work is being done to digitize numerous parts of our lives. Still, there are the old-fashioned, labor-intensive manual methods for sorting garments that need a significant amount of time and effort. It still takes a lot of effort and time to find clothes. To reduce this challenge, we propose an automated approach made possible by a user-friendly smartphone application. Our intelligent wardrobe model tracks the precise location of every article of clothes in the wardrobe using image processing algorithms. Additionally, the smartphone software keeps hack of items that have recently been worn, laundered, and ironed, as well as clothes that are in the laundry. Furthermore, the app uses artificial intelligence (Al) to offer personalized outfit recommendations based on different weather scenarios and events. This all-encompassing approach aims to enhance and accelerate consumers' daily experience with clothing management.