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B-01Robotics & AI
AI-Assisted Recycling Sorter
A prototype conveyor-based sorting system using a computer vision model trained on 12,000+ images to classify recyclables with 91% accuracy.
Jordan Lee, Sofia Reyes, Marcus Johnson
Edison Charter School
Team SortAI
Machine LearningComputer VisionRoboticsRecycling
About this project
Contamination in recycling bins costs municipalities millions annually. This prototype uses a Raspberry Pi, camera module, and a custom TensorFlow Lite model to automatically identify and sort plastic, glass, metal, and paper from a moving conveyor.
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2026 Regional Science & Innovation Fair
Riverside Convention Center