I built a react native app to recognize if a food is a hot dog or a "not hot dog", inspired by Mr. Jian-Yang (not Mr. Jian, and not Mr. Yang) from Silicon Valley

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning
Machine Learning awesome-list Deep Learning TypeScript machine-learning-models

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  • tfjs

    A WebGL accelerated JavaScript library for training and deploying ML models.

    • In this app I used this dataset and trained a custom image classification model using teachable machine. Then I used expo, tfjs, and tfjs-react-native to build the react native app that feeds the camera stream to the model and renders the inference results.

  • awesome-teachable-machine

    Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!

    • In this app I used this dataset and trained a custom image classification model using teachable machine. Then I used expo, tfjs, and tfjs-react-native to build the react native app that feeds the camera stream to the model and renders the inference results.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

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