ecoBay

Inspiration

Buying Items online has terrible implications for the environment:
A 2500 Mile Shipment(SF-NYC) * 2lbs Item weight * .0006595kg CO2 Emitted per lb-Mile = 7.2697431 lb CO2
Emitted to ship that item
Over 3x your item’s weight emitted in CO2!
Online shopping isn’t going away, and most people don’t pay attention to where their items are shipping from eBay provides the standard convenience/assurance of online shopping but also lets you choose to shop locally

ecoBay helps redirect you from shopping sites like Amazon, where items are sometimes shipped from halfway around the world overnight to you, to eBay results local sellers.
This has a massive reduction on the carbon footprint of your order, with little inconvenience to you! (The eBay listings often even save you money!)
We also analyzed our commit history via MLP and plotted some graphs to tell our keystone development story!

We used NLP powered by Google Cloud to parse the site for keywords that describe the product and sent them to our Django backend on GCP, which called the eBay API and returned closer items. A user can then scroll through the eBay options and pick the best product.
We also leveraged esri to help visualize the impact/CO2 savings gained by shopping local/via ebay. We use an esri map and geolookup to compare/map you location and that of your eBay purchase, vs. that of the closest Amazon Warehouse or location your item would have been shipped from.
We also use UiPath to automate bug/outage notifications to the developer both to their computer directly, and to their email.

Having to use pure JS (no frameworks) was a pain factor for those of us with a lot of JS experience in node,react,native,etc.
Ran into a lot of trouble getting UiPath to work, got it done though!
Albert’s computer keeps bluescreening!
Had to work over discord instead of in person due to even cancellation, loss of face to face time is always difficult.

The NLP product recognition is working really well. It both has a decent success rate, and seems to work on most sites/product pages tested
Our ebay queries are working perfectly
App is fully functional/has a utility in current state
UI is clean/simple
Successfully got esri and UIPath working
Our first ever browser extension!!
Proud of our development story/the NLP

Hacktech 2020
- Winner [UiPath/MLH] Best UiPath Automation Hack
- Winner Best Environment & Sustainability Hack
HackerHouse2020
- Winner Financial Responsibility Track Finalist

I worked on our UIPath bug detection Automation. I also worked on most of the front end styling(CSS/HTML).

Ray Altenberg
I worked on scraping and filtering data off the webpage, using Google Natural Language Processing API, and extracting relevant results to use.

Bryan Lim
I worked with the ESRI ARCgis API to populate a map with local eBay listings to visualize where local sellers are relative to your location.

Drew Ehrlich
UC Santa Cruz Computational Media 2023
I deployed a Django server with GCP that pulled keyword item searches from the eBay API. I wrote a JavaScript wrapper that called this server and rendered the product display cards in our Chrome extension.

Albert Zhong