Inspiration
While watching T.V., I wanted to find what one of the characters in the show was wearing at the time, but couldn't find anything similar. This inspired me to create an application that can find the clothing for us.
What it does
This application uses Tensorflow to grab each clothing article off a person and identify it. It then matches the clothing to a catalogue of clothing we web scraped from multiple different clothing brands.
How we built it
We trained Tensorflow to
Challenges we ran into
One of our team member's computers stopped being able to connect to the Google Cloud Vision API, so we had to transfer a lot of the code to another member's computer and work on it all there. This happened 2 hours before the deadline!
Accomplishments that we're proud of
We are very happy that we were able to scrape all of the info about all of the clothes from multiple websites and catalogue them, then have our A.I. identify the most similar clothes to the clothes in a picture.
What we learned
We learnt a lot about web scraping, Google Cloud Platform, Tensorflow, and GUI design.
What's next for Thrifter
The next step is to create a good UI so that anyone can use it as well. Hopefully, Thrifter can become the Shazam of clothing!
Built With
- beautiful-soup
- google-cloud
- python
- tensorflow
- tkinter

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