Automated Gratitude Expression System (AGES)

2025 · 2025 Competition

School: School of Computer and Information Sciences
Category: Computer Security and TechnologyPrimary

Project Overview

One Liner: Transforming Patient Reviews into Actionable Insights

Abstract

AGES aims to validate the concept of an automated gratitude expression system within a clinical setting, ensuring that the prototype enhances both clinician and patient experiences. By focusing on security, integration, and user-friendly design, AGES seeks to pave the way for broader implementation that could transform patient-clinician interactions across healthcare systems.

Screenshots

2 image(s)
Automated Gratitude Expression System (AGES) screenshot 1
Automated Gratitude Expression System (AGES) screenshot 2

Team Members

Judy Williams
Judy Williams
Lead
Mason Getz
Mason Getz
Robb Hall
Robb Hall
Romar Peralta
Romar Peralta
Taksin Matthews
Taksin Matthews
Jesse Catalfano
Jesse Catalfano

Advisors

Greg Hislop
Greg Hislop