Project Name: “Sound Guardian” Date/Time: 9/23/2026 / 10:00 AM

Current Phase: Model Training & Fine Tuning

• Trained ML model based on the ESC-50 dataset, targeting glass shattering, falls/thuds, and familiar/unfamiliar voices. 
  • Gathered sample data for thud noises and falls, as well as voice recordings reading passages among our teammates for the familiar and unfamiliar voices.
• Added SMS Notification functionality
  • Successfully sends notifications to multiple numbers simultaneously

• Pivoted Back to RGB Matrix in order to have multiple matrices, one on-board, and one on light matrix, for outside and inside communication.
  • i.e. if someone falls, the light matrix is of no use to them, therefore sends a morse code sos signal to the other light to signal outsiders.