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ESP32-S3 Based WiFi Sniffer Module for Occupancy Estimation
This is a simple WiFi sniffer module which uses the ESP32-S3 to scan for WiFi probe requests (at 9 minute intervals) and uses a trained Random Forest Regression model to estimate the occupancy using these probe requests.
About
Research conducted under the supervision of Professor Okwori at Union College. Uses ESP32 microcontrollers to scan for WiFi probe requests to predict occupancy levels. Using this data, a RFR model was trained, compressed, and deployed to the ESP32 to measure the accuracy of TinyML in predicting occupancy levels.