This project aims to automate waste classification (with the hopes of expanding into sorting) by fusing image processing with Near-Infrared (NIR) spectroscopy into a specialized AI model. Targeted for implementation at the University's Waste Transfer Station, this initiative aligns with both the Illinois Climate Action Plan (iCAP) for Zero Waste and the State Waste Reduction Plan. By automating waste categorization, this AI model will offer precise, real-time analytics for more effective waste upcycling, all visualized through an intuitive analytics dashboard available to the entire campus community.

This proposal directly funds:
1. Materials Testing
2. Near Infrared Spectrometer
3. 2 Graduate Students for 1 Year
4. 4 undergraduate students for 1 year
5. Hourly staff at the waste transfer station
6. Wi-Fi and power supply