Machine learning based intelligent wardrobe system for apparel recommendation and organization

Fashion and clothing are a way of life. People of all age groups spend much time on choosing the right apparel to appear presentable. It is important to wear outfits that are appropriate for the occasion. This paper presents the design of a machine learning based intelligent wardrobe system to provide hassle-free access of the wardrobe to the user. The system design helps the user in apparel selection by providing suggestions depending on the occasion and weather conditions. The proposed system tracks the record of usage of clothes and uses a machine learning algorithm to prevent repetitive selection of a particular piece for garment. The system also advises the user regarding the time to discard a particular apparel depending upon its usage. Thus, this intelligent wardrobe system provides a one of its kind solutions to all the wardrobe related problems.