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AFFiNE
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Pri…
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Voir le guide →Virtual_Fitness_Trainer est un projet de installation facile open source, créé par SuryaThejas-07 (SuryaThejas-07/Virtual_Fitness_Trainer sur GitHub). Il compte 40 étoiles sur GitHub et 0 forks, il est publié sous la licence Custom et a été mis à jour pour la dernière fois sur GitHub le 17 juin 2026.
Open easy install for fit coach is an ai-powered fitness web app that deliver.
Fetch the source code onto your machine.
Pull in the Node packages the app needs.
Copy the sample config or env file and adjust it.
Start the development or production server.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Issues and pull requests welcome on GitHub.
Hackable in a familiar, popular language.
No subscription or paywall for core features.
Audit exactly what the software does.
Get the source on your machine.
git clone https://github.com/SuryaThejas-07/Virtual_Fitness_Trainer.gitInstall Node dependencies.
cd Virtual_Fitness_Trainer && npm installRun the application.
cd Virtual_Fitness_Trainer && npm startIt fit Coach is an AI-powered fitness web app that delivers real-time form tracking via webcam, smart rep counting, posture scoring, workout and nutrition logging, body-metric monitoring, and progress analytics. It also includes a motivating coach chatbot for protein guidance and timed goal plans, giving you a working starting point you can run and adapt.
Yes — the code is openly licensed, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in TypeScript, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Pri…
Use LLMs as plain Python functions: prompts become typed, testable code.
Auto-subtitle videos with AI transcription, translation and voice cloning
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.