Programming & Software Developer Businesses Colleges Course

Overview

Collect sensor data, preprocess it, and train a lightweight ML model to classify patterns (e.g., motion vs. ambient noise). Deploy the model on a Raspberry Pi or edge device.

Learning Outcomes

  • Collect and label sensor datasets
  • Train a lightweight classifier
  • Deploy a model to an edge device

What You Build

A sensor classifier deployed on a Raspberry Pi.

Materials Provided

Raspberry Pi, sensors, sample datasets, ML libraries

How Schools Can Integrate It

AI and data science modules with practical edge deployment.

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