A simple web-based Machine Learning environment for children and learners to create their own image classifier with behaviours. This variation does not require coding skills, it provides a way to add actions and behaviours to the model without block-based or scripting languages.
A hosted version of this application is freely available here. The site does not track you or send any data to servers, all calculations are done in your browser. The sharing and collaboration functionality is peer-2-peer.
This application is developed as a part of the Generation AI research project in Finland, in partnership with 12 schools.
N. Pope, J. Kahila, H. Vartiainen and M. Tedre, "Children's AI Design Platform for Making and Deploying ML-Driven Apps: Design, Testing, and Development," in IEEE Transactions on Learning Technologies, doi: 10.1109/TLT.2025.3529994.
This is a React web application that is developed within Node.js using npm. If you wish to build your own deployment you will need Node.js installed on your machine. Some of our dependencies are in the github registry which requires you to login using your own github personal access token (see: https://docs.github.com/en/packages/working-with-a-github-packages-registry/working-with-the-npm-registry). The source code of these dependencies is here:
- https://github.com/knicos/genai-base
- https://github.com/knicos/teachablemachine-community
Steps to install and build:
- Download the source code from Github.
npm login --scope=@knicos --auth-type=legacy --registry=https://npm.pkg.github.comnpm installnpm run build- Copy the contents of the
distfolder to a web server.
The app uses "vite". You can start a development server using npm run dev and use npm test to run the automated tests.
