Eve Lee is a visual designer
based in New York.

Currently at OMG.re .
 Read more


Selected Projects:
 1. Bojagi Allure
A brand identity for an AI-driven exhibition
that reinterprets traditional Korean desserts
as stone sculptures.

2. QR Beef
An innonative tech-driven approach
for identifying the quality of beef.

3. Lavatory
Map-based NYC restroom app with GPS
navigation, feature tags, and peer reviews.

4. Cronus for Dessert
A research‑based installation contrasting wild
and modern fruits to expose hidden costs.

5. Overflow
Time-based discount app for ready-to-eat
grocery items that minimizes food waste.

6. Time, Date, and Place
Time-, date-, and place–driven illustrations.

7. Fashion Design Community Service Club
Founder repurposing Parsons’ waste fabrics
into utilitarian blankets for communities in need.

8. IBM Quantum Whac-A-Mole
The calssic game, retrofitted and powered
by IBM Quantum Lab.





QR Beef

Product Design, Design Research, UI/UX, Data Visualization
2024

Scans steak for level of marbling and assigns an USDA meat grade (or beyond). Puts the power of objective, quantitative testing directly into the consumer’s hands.





OUR GOAL

A beef marbling scanner inspired by QR code scanners.

Meat grades are subjective grades based on visual assessment, 
and therefore prone to human error and grading bias. QR Beef 
provides an objective, quantitative measurement to assign the 
true grade of a piece of steak. 

For commercial restaurants and common consumers alike, the measured truth eliminates the pitfalls of estimation.






STEP 001: FIND A MEAT TO SCAN 



STEP 002: GET YOUR RESULT


STEP 003: UNDERSTAND THE GRADE






FAILED PROTOTYPE ATTEMPT

Receiving user feedback, I learned that the first 
draft contained too much text and the visual USDA 
logo was too small. 

Needed to change formatting to make the data 
more intuitive and easy to understand.
NEXT STEP 001:

Mistaking things for beef: our current scanning technology 
lacks the capability to differentiate between marbling patterns 
and similar textures. 

Foods with similar textures, colors, and patterns may be 
perceived as beef. Additional research and resources are 
required to resolve the problem of mistaking things for beef.


NEXT STEP 002

Due to the camera's inability to distinguish between marbling and surfaces with similar appearances, the camera app cannot be used here (unlike QR codes). 

Further research and development are necessary to enhance the camera's built-in discernment capabilities.
Sources:
“Beef Grading Shields.” Beef Grading Shields | Agricultural Marketing Service, www.ams.usda.gov/grades-standards/beef/shields-and-marbling-pictures. Accessed 29 Apr. 2024.

Crowley, Matt. “How the USDA Grades Your Steak.” Steak University, 7 Mar. 2024, www.mychicagosteak.
com/steak-university/how-the-usda-grades-your-steak.

“Grading.” Lone Mountain Cattle, 15 Aug. 2019, www.lonemountaincattle.com/about-wagyu/grading/.

Savell, Jeff. “Understanding USDA Beef Quality Grades.” Meat Science: Understanding USDA Beef Quality
Grades, Texas A&M University, 26 Oct. 2018, meat.tamu.edu/2018/10/26/understanding-usda-beef-quality-grades/understanding-usda-beef-quality-grades-2/.
Product Design, Design Research, UI/UX, Data Visualization, 2024
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