For the Embedded Systems Course, I developed a sound alerting product as part of a team of 4 university students. Sounds like door-bells or alarm sounds can be overheard when wearing headphones or listening to loud music. To solve this, we developed a sound classifier that would run on a small low-powered embedded processor and would send alerts to a users’ phone, which would vibrate or blink the flash light to get their attention. This required training a highly efficient machine learning model that could run in real-time on minimal embedded hardware. In addition, a mobile app and communications infrastructure was implemented.