Online Archive of University of Virginia Scholarship
Smart Wound Monitoring and the Changing Role of Human Judgment in AI-Assisted Software Engineering87 views
Author
Le, Phong, School of Engineering and Applied Science, University of Virginia
Advisors
JACQUES, RICHARD, EN-Engineering and Society, University of Virginia
Elbaum, Sebastian, EN-Comp Science Dept, University of Virginia
Abstract
This capstone combines a technical smart bandage prototype with an STS analysis of AI-assisted software engineering. The technical portion presents a wound-monitoring system that uses a TMP117 temperature sensor, ESP32 microcontroller, API server with backend alert logic, and web dashboard to track wound-site temperature and alert caretakers to patterns that may indicate infection. The project evaluates sensor accuracy, system latency, and the backend temperature heuristic to determine whether the prototype can support continuous wound monitoring.
The STS portion examines how AI is changing software development from a manual coding process into a more iterative, conversational workflow. Rather than removing the need for engineers, AI shifts more responsibility toward reviewing, validating, debugging, and securing generated software. Together, the project explores a shared theme of technology improving monitoring and productivity, but human judgment remains essential for interpreting results, maintaining accountability, and ensuring that automated systems are used responsibly.
Le, Phong. Smart Wound Monitoring and the Changing Role of Human Judgment in AI-Assisted Software Engineering. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2026-05-08, https://doi.org/10.18130/ymvr-6d74.
