Vanguard Client Telemetry

2026 · 2026 Competition

School: School of Computer and Information Sciences
Category: Corporate SponsoredPrimary

Project Overview

One Liner: AI-driven system to detect client frustration using synthetic telemetry data.

Abstract

This project explores how AI and telemetry data can be used to identify when a client is having a frustrating or difficult experience on Vanguard’s digital platforms. Since real client data cannot be used, we will simulate user activity and collect synthetic interaction data. The goal is to build a proof-of-concept that can recognize signs of user frustration and show how this information could help support teams assist clients more quickly and improve the overall digital experience.

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Team Members

Geri Koka
Geri Koka
Lead
Shengyang Dong
Shengyang Dong
Junkai Ge
Junkai Ge
Manish Gurung
Manish Gurung
Guanxin Zheng
Guanxin Zheng
Sabrina Akter
Sabrina Akter

Advisors

Filippos Vokolos
Filippos Vokolos

Stakeholders

David Tatum