Leaders:

• Joshua Soteras
• Brandon Lopez

Project Manager

• Julian Gutierrez
• Edmundo Guzman
• Francisco Guzman
• Denise Tablias

Advisor

• Huiping Guo

Project Description

QTC Leidos, officially known as Leidos QTC Health Services, is a U.S.-based healthcare organization specializing in medical examination and diagnostic services, primarily for government agencies. With a wide range of clients, gathering feedback through surveys is essential to maintaining top-tier performance and continuously improving service quality. These surveys provide valuable insights into client experiences, enabling QTC Leidos to identify areas of excellence, address concerns proactively, and implement data-driven improvements that enhance overall operational efficiency and patient satisfaction.

The project's goal is to develop and a Quality Manage System, that analyzes survey responses related to to examinee and staff appointments.  A key feature  is Sentiment Analysis-the process of evaluating textual responses to determine the respondent's attitude. In this context, the system classifies each client experience as positive, negative, or neutral. A  LLM (Language Learning Model) Roberta utilized to analyze comments that contain sarcasm or mixed opinions, offering a more effective solution compared to traditional rule-based approaches..  The analyzed data will be used to generate data visualizations and key performance indicators (KPIs), providing actionable insights to support continuous improvement and decision-making.

A QTC Leidos employee can upload survey data in CSV format via the web-based dashboard. Upon submission, the file is parsed through the use of ASP.NET , where it is ingested, parsed, and normalized into a structured SQL Table format into Azure's database. Concurrently, sentiment analysis is performed on designated textual fields to classify responses as positive, negative, or neutral.

Project Stack