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.
About the team
Team members
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