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!