Building and deploying a great embedded machine learning model takes time: it requires data collection from multiple sources, cleaning up data, extracting values using signal processing, and perhaps trying out a few new model architectures. Edge Impulse provides a variety of tools to keep you sane during this process: you can version your complete project, use block versioning to iterate over your ML blocks, and today we're adding the ability to add notes to a project.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/adding-notes-to-your-edge-impulse-project