Recommendation for a Lightweight TinyML Model with Dataset for Environment Sensing

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#1

Hi everyone,

I am currently pursuing my Master’s degree and am new to the TinyML domain. As part of my research, I would like to gain some hands-on experience by simulating an existing TinyML application in Python before building additional functionality on top of it.

Could anyone recommend a lightweight TinyML model for environmental sensing(e.g., temperature, humidity, soil moisture, or air quality) along with:

A publicly available dataset
A pre-trained TensorFlow Lite (or TensorFlow Lite Micro) model
Any associated research paper or GitHub repository, if available

My objective is not to develop or train a new model, but rather to understand how an existing TinyML model works and use it as a building block for my research.

I would greatly appreciate any recommendations.

Thank you!

#2

Hello @PRAJEEV first of all welcome to the Edge Impulse community!

Did you see this sensor fusion tutorial? Maybe can give you some ides Environmental sensor fusion - Edge Impulse Documentation

Let us know if we can help you more!