Real-Time Process Monitoring and ML Optimization – Potato Analogy Testbed
Electrical Engineering
Team 52
Aleksanadar Jovanovic, Namir Sabuwala, Ohm Pandya, Drake Zinn, Gabe Garcia
Summary
This project builds an experimental system that mimics semiconductor fabrication by using a sensor-equipped oven and potatoes to study real-time process monitoring and control. It integrates thermocouple data, Arduino-based control, and a Raspberry Pi running machine learning models to dynamically adjust heating and achieve consistent results despite variations in the potatoes. The goal is to demonstrate how real-time sensing, prediction, and feedback can reduce waste and improve reliability in complex industrial processes.