Problem Statement

Currently, small businesses are unable to leverage the use of self-checkout systems to reduce their long checkout lines and labor expenses due to the high price tag on self-checkout equipment ($30,000 per kiosk)

Our Solution is to build a grocery store computer vision checkout system through a website.
The entire self-checkout is done on customers phones hence making it a relatively cheap and inexpensive for small businesses











Our Features

1. Advertising Effect of
Businesses & Offers
for More Customers
2. Computer Vision Models
for highly accurate
checkout detection
3. User friendly website
for easy consumer &
business interaction










Technical Approach

1. Google AutoML Vision


2. Customer Experience Pipeline


3. Business Enlisting Pipeline











DEMO



Try our website






The TEAM!

Ann Yoo Abbott

Web Developer/UX Designer

hyooabbott@berkeley.edu

Annabelle Lee

Data Engineer/QA

annie122184@berkeley.edu

Joy Chiang

Lead Data Scientist

hsiaoyuchiang@berkeley.edu

Shubham Gupta

Project Manager

shubham321@berkeley.edu