This project proposed a mobile application of a clothing-recommendation system that gives different experience for the user depending on his wardrobe, we build two different types of Artificial intelligent recommendations, the first one is item-based collaborative filtering using K-Nearest Neighbor, to recommends items that the user might like based on his rating for items in stores, the second is content base using description similarity to take the user out of his comfort zone by motivating him to try trending clothes that he doesn't have in his wardrobe. In each type we look for top trendy items using the fuzzy system, the application provides online shopping stores and several features to the user such as a virtual closet.
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