This paper presents the development and evaluation of a low-cost, portable electronic nose (GeNose C19) for rapid, noninvasive COVID-19 detection using exhaled breath. The device integrates an array of metal oxide semiconductor gas sensors, optimized feature extraction, and machine learning models. Evaluated on 615 breath samples (333 positive, 282 negative), GeNose C19 achieved 88–96% accuracy, 86–94% sensitivity, and 88–95% specificity, suggesting its potential as a fast COVID-19 screening tool.
