Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kodavathungal Mohammed, Isha Fathima; Mathew, Joswin Joseph; Nagaraju, Shamanth Title A name given to the resource IoT-Enabled Smart Breath Analyzer for Real-Time Monitoring of Ammonia, Alcohol, and VOC Biomarkers for Early Disease Detection Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1829 LNNS;pp.1-13 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-18141-1_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-18141-1_1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031908808?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031908808?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kodavathungal Mohammed I.F., Department of Information Technology, CHRIST University, Bangalore, India; Mathew J.J., Department of Information Technology, CHRIST University, Bangalore, India; Nagaraju S., Department of Computer Science and Engineering, CHRIST University, Bangalore, India Description An account of the resource Real-time monitoring of breath biomarkers such as ammonia, alcohol, and volatile organic compounds (VOCs) is important for early disease diagnosis of metabolic and organ-related diseases. Traditional disease diagnosis techniques are invasive, time-consuming, expensive and not suitable for using in remote areas. To overcome these limitations, this paper proposes the design and development of an IoT-based Smart Breath Analyzer for real-time monitoring and analysis of ammonia, alcohol, and volatile organic compounds (VOC) concentration present in exhaled human breath. The system consists of different kinds of gas sensors connected to an ESP32 microcontroller for measuring gas concentration, which is processed and sent to Blynk application via Wi-Fi for visualization and disease prediction. A trained machine learning model is used in the system which classifies biomarker patterns that may be associated with conditions such as kidney disorders, respiratory issues, or alcohol influence, based on literature-derived thresholds. The system is presented as a proof-of-concept screening tool rather than a clinical diagnostic solution. The results are showed on an OLED display and accessed via a mobile app developed using the Blynk IoT platform. This non-invasive, affordable, and scalable solution improves continuous health monitoring and early diagnosis. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Ammonia; Breath Biomarkers; Disease Prediction; Internet of Things; Real-Time Monitoring; Smart Healthcare; VOCs Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303218140-4; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online