Functional Architecture

1. A teachable machine model was trained using a traditional stud finder to collect audio of knocking on walls over studs and over hollow sections.
2. The model was trained to recognize 5 classes | Stud, No Stud, Buzzer Sounds, "Hey StudSee", and Laughing
3. The javascript for the ML model was exported and hosted on P5.js
4. The P5.js program could then trigger a Particle Photon by publishing ML readings to Particle's cloud server
5. Code loaded onto the Photon would then trigger a buzzer and LED pattern depending on what events were detected.