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Shopify Developer Challenge Submission - Fall 2021:

Completed Features:

  • SEARCH function
    • from text
    • from an image (search for similar images)

How to use Application (as a User):

Click HERE and search from almost 2000 images of fashion items. I assumed that a fashion merchant would find it useful to query images by their content form their store on Shopify.

Enter your search terms in the text field and press "RUN SEARCH" to get results. Or click on the "Upload similar image" button to upload a search image and then click "Run search" to get search results.

Try these any of these search terms to get started:

  1. bag
  2. belt
  3. bracelet
  4. dress
  5. glasses
  6. hat
  7. necklace
  8. pants
  9. shoe
  10. top

How to use Application (as a Developer):

Set Up:

I used the following Google Cloud Platform as infrastructure for developing and deploying this project, and as such, the set up instructions are very complicated and it would better to refer to the official GCP set up documentation.

Running Tests:

Run the following with all server environment variables (see app.standard.yaml in the root project directory): mocha test/apiTests.js

Languages, Frameworks, and Technologies used:

  • JavaScript
  • ReactJS
  • Expressjs
  • Mocha/Chai
GCP Technology Usage Why It Matters
Vision AI labels all images in repository by objects detected effective and efficient method for labelling images for querying
App Engine deploys ReactJS frontend and Expressjs backend severs and automatically scales them to match user traffic load simple and scalable solution for deploying servers quickly
Cloud SQL stores user data, image content labels, and GCP bucket URIs to images (instead of image pixels directly) saving GCP bucket URIs prevents MySQL from being excessively large and slow
Cloud Storage stores almost 2000 images in GCP buckets for high availability globally integrates seamlessly with GCP ecosystem which reduced development time

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Image search engine for fashion items using computer vision.

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