What it does
By taking in user inputed measurements, site-offered sizing charts, and user feedback and analytics, this application estimates how well a certain article of clothing will fit you. This tool will be helpful in eliminating the uncertainty of buying clothes online.
How we built it
We used CSS, HTML, and SASS for the web-extension interface and MySQL, XAMPP, and PHP for the database get and post requests.
Challenges we ran into
The main challenges we faced when building this browser extension was connecting the database to the frontend and sending and storing user information to the database.
Accomplishments that we're proud of
The frontend design looks very polished and complements retail websites really well. The set connection between the backend and the frontend was great.
What we learned
This was the first time any of us had built a browser extension so figuring out how to make it work was a good working experience. We were able to contribute our different skills and learn how to work together on something that was new to all of us.
What's next for SizeUp
Eventually, we aim to incorporate machine learning algorithms and clustering to improve probability predictions. By having users provide information about the fit of an article of clothing post-purchase, we could provide other users buying that product with more accurate.