This paper introduces "Personal Wardrobe," an innovative mobile application utilizing Artificial Intelligence (AI) for sorting, filtering, and matching wardrobe items. Developed with Kotlin Multiplatform and Ktor, it supports both iOS and Android, aiming to streamline outfit selection, improve wardrobe management, and offer tailored recommendations via machine learning. Integrating AI, "Personal Wardrobe" enhances user experience with intelligent organization and style advice, reflecting individual preferences and histories. This method not only elevates personal style but also encourages sustainable fashion by optimizing existing wardrobe utilization.