Wearable items suggestion system using case based reasoning

Abstract

Today every person wants be attractive and well dressed. Especially, women want to appear beautiful than all others. For this, they go to different parlors and invest lots of money and time. On the other hands, in some countries like Pakistan, India, Afghanistan, it is not normal practice for women to go out and got beauty treatments. In addition to these factors, on different occasions like wedding, engagement, and birthday, people wear special clothing items and do make over. Consequently it is difficult for them each time to go out or find any source who can give them suggestion for wearable and makeover. We resolve this issue by means of design and development of an expert system who suggests party wearable items by just simple clicks and small number of key strokes. The system extracts certain user information from her snap (skin ton, complexion, face shape, facial features) and asks other particulars like height, weight, as well as event type. These attributes are used to search the best related case from system's knowledge base and suggests user the cosmetics, hairstyle, eye wear, contact lenses, dress color, dress type, shoe, etc. The numbers of experiments are performed and the results obtained are matched with the expert's suggestions.