International Research Journal of Education and Technology

Diabetes mellitus is a chronic metabolic disorder that affects millions of individuals worldwide. Early and continuous monitoring of blood glucose levels is critical for the effective management of diabetes. This abstract presents a novel approach to diabetes detection and monitoring using acetone detection in breath with the NodeMCU, an Internet of Things (IoT) platform. Acetone is a volatile organic compound that can indicate uncontrolled diabetes when detected in a person's breath. The proposed system leverages the capabilities of the NodeMCU, which is based on the ESP8266 Wi-Fi module, to create a portable and accessible diabetes detection solution. This abstract highlights the potential of using IoT technology, specifically NodeMCU, for non-invasive diabetes detection through acetone analysis in breath. Such a system offers a convenient and accessible solution for individuals with or at risk of diabetes, assisting in the early diagnosis and management of this prevalent chronic condition. Further research and development in this area can potentially enhance diabetes care and improve patient outcomes.

Keywords—: diabetes mellitus, breath analysis, non-invasive diagnosis, nanomaterials, chemo resistive sensors, acetone detection.