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Dodo Recommender

Web application website:

http://dodo-recommender.us-west-2.elasticbeanstalk.com/

Introduction

Dodo Recommender is a search engine for Vintage Luxury goods. Powered by our deep learning image feature extraction model, Dodo recommends similar items from online shops all over the world upon your uploaded image of a luxury item, in terms of style, pattern, and category.

The user can click on the item he's interested in and be redirected to the associated external shop page.

Backend design

The backend is built upon Python Flask scripts, consisting functionalities including image uploading, similarity generation, database query/output, and user system.

The database is hosted on AWS S3 and RDS servers, connected with boto3 and flask_alcamy API.

Deployment

The application is deployed to the AWS Elastic Beanstalk server via docker image.

Example

Uploaded image

Clustering of ring shape data

Recommendations

Clustering of ring shape data

Try your own image!

Dodo team members:

Qianyun (April) Li

Zhimin (Alex) Lyu

Tianxiang (Tony) Zhou

Siwei Ma

Yue Zhao

Yingtong Lin

Eileen Wang

Yueling Wu

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