  This project introduces a wearable, non-intrusive device for snoring
detection and remediation, designed to be placed under or alongside a pillow.
The device uses sensors and machine learning algorithms to detect snoring and
employs gentle vibrations to prompt positional changes, thereby reducing
snoring episodes. The device is capable of connecting via an API to a
cloud-based platform for the analysis of snoring sleep patterns and
environmental context. The paper details the development from concept to
prototype, emphasizing the technical challenges, solutions, and alignment with
ubiquitous computing in sleep quality improvement.
