NativeScript Vue + ML = The Great MiniBar Challenge: MixoLogy
summary
A native mobile app called Mixology gets built with NativeScript-Vue and a scraped mr. Boston API of 995 mr. Boston recipes imported into Firebase for queries, plus an image pipeline: Google Cloud Vision fails to identify small bottles so a MobileNet model is retrained via TensorFlow for Poets and converted to a TF Lite quantized model (works but loses accuracy, e.g. recognitions drop to ~48%), and a playful generator uses textgenrnn generated 500 recipes with a shake-to-reveal UI; demos partially succeed.
AI-written summary · about
chapters (8)
- 0:00Introduction and context
- 4:31The minibar project premise
- 6:12Data acquisition strategy
- 11:23Scaffolding the mobile app
- 13:40Database integration
- 17:23Training custom ML models
- 24:55Generating creative content
- 28:48Conclusion and resources
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