Virtual Fit using Computer Vision and Trimesh

The majority of the time, when a person purchases an outfit online, the user is unsatisfied because the outfit does not fit them as well as it does the model. This is because, the majority of the time, the outfit looks wonderful on the models. All websites utilize attractive models, so while the costumes look wonderful on them, they don't look as nice on the user. Users may experience difficulty deciding on an outfit's hue. And this occurs with several goods, including clothing, jewellery, and eyewear. A huge database that stores images, product data, and customer data are required. Users can only try on products like shoes, shirts, and trousers. Snapchat Users can only try out specific luxury brands with limited products. In the existing systems, users can only try on products like shoes, shirts, and trousers. Building offline stores like Amazon or maintaining huge databases requires great technical support and huge investment. The slot booking system is the main disadvantage of virtual fitting rooms. A lot of time will be wasted. Users can virtually try on outfits only on that particular website. This proposed system can take any image from the internet and enable users to virtually try it on. It doesn’t need a huge database to store product images, nor is it restricted to any website or e-commerce platform.