Graduates

Justin Ryu

BS in Interaction Design — Interaction Design
Course:
EMERGING TECH - AI
Faculty:
Mehar Nangia
Term:
2025 Fall
Collaborators:
Kethan Sivarapu

NUGGYS

NUGGYS addresses the fragmented sports viewing experience by delivering personalized NFL highlights in short, on-demand clip formats. Powered by real-time game data and an AI agent trained to retrieve specific moments, the platform enables users to quickly access exactly what they want to watch without navigating multiple sources.

Process:

The project began by identifying fragmentation across how fans consume games across platforms and timelines. The design focused on structuring a system that surfaces relevant moments in real time and enables direct retrieval through an AI-driven interface. Prototypes were built in SwiftUI and deployed via TestFlight to validate interaction, responsiveness, and overall product direction.

Learning Outcomes:

– Designing systems that reduce fragmentation across content ecosystems
– Structuring AI-driven retrieval within a user-facing interface
– Translating real-time data into responsive, short-form experiences

Tags:
App Design,
Branding,
UI/UX
Image
Image
Image
Image
Video file