Machine Learning-Assisted Janus Colorimetric Face Mask for Breath Ammonia Analysis

-NN algorithm based on RGB response features aids in the analysis of the target ammonia level and achieves a prediction accuracy of 96%. This study integrates colorimetry, Janus design, and machine learning to present a wearable and portable sensing system for breath ammonia analysis.