Computer and Information Systems Technology

Project RID – AI-Powered Consumer-to-Consumer Selling

December 23, 2019

Project Term: Fall 2019

Selling used physical items online has traditionally been a time-consuming process. Writing a good product description and pricing it appropriately can be challenging. Sponsored by North Forge, the RID team came to the ACE Project Space to find a way to create an application to simplify the selling process. Our BIT and BTM students built a prototype application that quickly populates a product description by simply taking a photo of the product. The students developed a web application that supports user authentication using Firebase, Google for photo storage, and integration of Vision AI and the eBay API to populate recognize products, populate descriptions, and determine price ranges.


The RID student team completed the following deliverables for the project during the fall term at the ACE Project Space:

  • User authentication
  • Mobile compatible view
  • Integrated image recognition feature
  • Product fields input

Technologies used

  • React
  • Vision AI
  • eBay API
  • Firebase
  • Node
  • Bootstrap
  • Material UI
Item Capture Screen

Item Capture Screen


Image Upload Screen

Image Upload Screen


Price Chart

Price Chart