We can now build tiny machine learning (TinyML) models that interpret sensor data in realtime, from detecting lions roaring to tracking sheep workouts. But to get started building these models you need a development board, a cross-compilation toolchain, and knowledge about embedded development. Can't we do better? We already have a very capable device with multiple high-quality sensors in our pockets, and it's the perfect device to build your first TinyML model.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/build-tinyml-models-using-your-mobile-phone/