SORTR

The Project

SORTS is a Machine Learning based interactive device to help sort waste at the time of disposal. This would provide a preemptive, budget-friendly solution that can be deployed at scale. Model is trained using Teachable Machine, a web-based tool from Google, for creating custom machine learning models. System Prototype is implemented on a Raspberry Pi 4 computer. Object classified using ML model after scanning with camera. Uses color-coded LEDs, and an LCD screen for disposal bin identification. Audio clips played on speaker to provide educational facts about disposed items.

Advanced
Education
Community
Environment

About the team

  • United States

Team members

  • Varun
  • Aditya