This project aims to perform clothing classification using MobileNetV2 CNNs and display related clothing items to the user through a mobile iOS application. Unlike conventional visual product search in the market that uses feature similarity to do the visual search, our project uses 3 convolutional neural networks (CNNs) to do a visual search and enable users to find related products with different user-specified attributes. The app is optimized for mobile devices and is designed with an intuitive user interface that allows users to take or provide a picture of an item they want to search for. Our project provides a novel and convenient way for users to search for products, and improves the experience of mobile e-commerce users.

Team Members

Angela Chan
Isabel Aguilera
Seema Kulkarni
Tanya Shiramagond
Uttami Godha