The problem FashionAI solves

Online fashion commerce faces the critical problem of a lack of a direct physical experience of in-store shopping.
Several approaches prefer using external hardware for virtual try-on which turns out to be costly for individual users.
This pandemic has caused the companies to rethink the in-person experience especially the online e-commerce websites need to give reason to not visit the offline stores.
Our novel approach helps the user to have an in-hand experience of stores with the trying and fitting features which are the major resilient for online shopping.

Challenges we ran into

Training the machine learning model for virtual try on. Lack of computing power and dataset available. Orientation independent output. Pipelining the code in the frontend.