Personalised Fashion Assistant

The research aims to build a personalised fashion assistant that provides users a personalised virtual try-on experience. The user inputs a simple text describing the outfit she wants to try along with her image and can end up trialing outfits of her choice virtually. This virtual option has been extended to earrings try on too which overpowers existing models with the use of a streamlined approach unlike the complicated ones to achieve the goal. The research stands out with two other specialised features which include “expert rating”, an intelligent rating approach showing how well the outfit suits the user and goes with the trend and “fit advisor”, a smart way to reduce the number of exchanges that happen often in this era of online shopping and is a better approach compared to the existing ones which recommend the right size that would fit the user. The personalised feel is not limited only to the people who can type, the description of the outfit can be provided with voice or simply by choosing the pictorial options shown, thus overcoming the language barrier problem. The scope of this research covers women's tops. This fashion assistant benefits the shoppers by providing a personalised virtual experience, hence saving time, effort and capital required for physical shopping.