Using TinyML to identify farts

• iot-curriculum

  1 159 0.0 JavaScript

  Hands on labs and content for students and educators to learn and teach the Internet of Things at schools, universities, coding clubs, community colleges and bootcamps

  

TLDR; Find a complete hands-on lab to build a TinyML audio classifier at github.com/microsoft/iot-curriculum/tree/main/labs/tiny-ml/audio-classifier.

• scikit-learn

  81 58,130 9.9 Python

  scikit-learn: machine learning in Python

  

The model in question is trained using Scikit-Learn, a Python Machine Learning library. The audio data is loaded into numpy arrays, then split into training and testing data, the model is trained using the training data, then tested with the testing data to give an idea on the accuracy.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• PlatformIO

  96 7,540 9.1 Python

  Your Gateway to Embedded Software Development Excellence :alien:

  

To code this board, I could use the free Arduino IDE, but I prefer to use Visual Studio Code, along with the PlatformIO extension. This allows the creation of standalone microcontroller projects with .ini files that define the board and libraries used. I can check a project into GitHub and someone can clone it and immediately start working with it without the need for instructions on what boards and libraries they need to set up.

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