Using Machine Learning to Check My Squat Form with CreateML

The video explores Apple's Create ML platform, designed for easy machine learning model creation on mobile devices. The instructor attempts to solve a personal fitness problem by developing an app to assess squat form using pose estimation. Challenges in data preparation and model training are discussed, including issues with video annotation and iteration performance. The video concludes with insights on model deployment and potential improvements, suggesting that while Create ML is user-friendly, it may lack the flexibility needed for advanced machine learning tasks.

What improvements does the speaker suggest for the Create ML platform?

What is the speaker's overall impression of Create ML after developing the squat form model?

How does the speaker plan to further explore the compatibility of ML model files with Apple's Core ML system?