Machine Learning in Android Apps with ML Kit

on YouTube ↗30m

" summary

Shows how Firebase ML Kit was used in an Android app to build a real‑time demo performing face detection (landmarks, smile, eyes open), cloud OCR with language info, barcode scanning, image labeling, and running a custom model. Describes training a 101‑class food classifier on about 101,000 images that produced an 88 MB model, exceeding Google’s 40 MB hosted limit and highlighting on‑device vs cloud deployment tradeoffs; notes ML Kit supports both modes and is suitable for prototypes but is still beta.

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" chapters (8)

1. 0:00Introduction
2. 1:26What is Machine Learning
3. 4:16Model creation challenges
4. 8:11What is ML Kit
5. 16:41Setting up ML Kit in Android
6. 23:06ML Kit in production
7. 24:32Live demo
8. 28:51Summary

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