Using Machine Learning To Improve UI/UX
summary
Demos use Brain.js to power concrete features: a browser-hosted text predictor, live layout tweaks that change element colors and opacity based on collected RGB hover data, and a simple classifier to flag malicious users. Models train incrementally in the page so the app makes real-time updates as more input arrives, or training moves to a server for constrained devices; source code lives on GitHub and the examples run lightweight and effectively in practice.
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chapters (6)
- 0:00Introduction to ML in UI/UX
- 10:25Color prediction with ML
- 16:56Adaptive UI adjustments
- 19:04Accessibility through ML
- 21:35Server vs browser ML
- 23:10Q&A on ML and performance
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