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A smart web application to help you find the best clothes combos based on AWS

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Beyond Closet

Beyond Closet is an awesome web application to get the color recommendation based on uploaded images and the color wheel theorem.

About

Your imagination has no limits, and anything is possible for you to imagine!

CEO: Alan Wang
CTO: Ajin Chen
COO: Jeff Yeh
Engineer: Ajin Chen, Karsten Cao, Yanan Cao, Tong Wang, Alan Wang, Ruifeng Luo
Data Scientist: Kaihang Zhao, Yangzhou Tang, Chenjia Guo, Fan Li
Project Manager: Monty Xu, Roger Ren, Jeff Yeh

Requirements

  • docker & docker-compose
  • AWS account (S3, Elastic Beanstalk, Lambda, SageMaker)

Technical Components

To launch the container services of app, run the following:

# launch application
docker-compose build && docker-compose --env-file env_file up

# shut-down application
docker-compose down

High Level Archiecure

image-20220720122559481

ML Algorithms behind the Website

  • Object Segmentation (UNet)

  • Color Detection (Kmeans++)

  • Color Wheel Theorem (Projecting to spherical color space)

Website Demo

image-20220720130029459

image-20220720130140829

image-20220720130230891

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A smart web application to help you find the best clothes combos based on AWS

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