Developed and deployed a neural network model for real-time human activity recognition using an Adafruit Adalogger M0 Feather microcontroller and an accelerometer sensor.
-
Updated
Jul 17, 2024 - Jupyter Notebook
Developed and deployed a neural network model for real-time human activity recognition using an Adafruit Adalogger M0 Feather microcontroller and an accelerometer sensor.
AI Models Implementation on Edge Devices (Raspberry Pi)
A mock IoT water sensor telemetry generator that produces realistic time-series data with timestamps, replay-safe counters, and anomaly injection for testing analytics and security systems.
Add a description, image, and links to the edgedevice topic page so that developers can more easily learn about it.
To associate your repository with the edgedevice topic, visit your repo's landing page and select "manage topics."