The problem Virtual TRY-ON solves

When it comes to online shopping for clothes, getting the right fit can be a guessing game. Many people solve the quandary by ordering the same item in multiple sizes and then returning the ones that don’t fit. This leads to a lot of wastage of human resources and items required for packing and shipping. Also, returning items takes a lot of time and creates additional problems for shipping partners and delivery personnel.

Developing an Augmented Reality technology to find clothes that truly fit in order to save human resources and fabric. It uses facial and body recognition algorithms to define areas of the face and body and apply an overlay of selected products on those areas.

The application also takes measurements from customers and uses its machine-learning algorithm to fit the clothes to the 3-D model of the person and show how the clothing item would fit and look on the person. By letting customers try on products from the comfort of their homes, brands can grow their sales and significantly decrease their return rates. Customers may imagine themselves in a range of styles and sizes before purchasing using AR clothing try-on technology, which helps to minimize expensive return rates dramatically.

Challenges we ran into

To bring our project to life, we needed to use many different technologies. The problem we faced was that it was difficult to integrate them into a single piece of technology. But at the end we managed to do so