Skip to content
#

low-power-ml-applications

Star

Here is 1 public repository matching this topic...

realjules / ml_with_hardware

Star 0

This project integrates Machine Learning with Arduino and Raspberry Pi hardware, deploying TensorFlow Lite models for real-time sensor data processing. It demonstrates temperature monitoring, motion detection, and cloud connectivity for IoT applications.

arduino motion-detection data-visualization edge-computing tensorflow-lite cloud-connectivity sensor-data-collection-and-processing real-time-ml-inference low-power-ml-applications iot-data-pipeline-development
  • Updated Feb 22, 2025
  • C++

Improve this page

Add a description, image, and links to the low-power-ml-applications topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the low-power-ml-applications topic, visit your repo's landing page and select "manage topics."

Learn more