LibreAI / Easy Install / Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting
// easy-install · RiccardoRiccio/Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting

Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting

Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting — an extension of t...

💎 Hidden gem★ 170 stars⑂ 33 forksCustomupdated 2026-02
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting is an open-source easy install project by RiccardoRiccio (RiccardoRiccio/Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting on GitHub). It has 170 GitHub stars and 33 forks, is released under the Custom license, and was last updated on GitHub on 28 February 2026.

GitHub stars
170
Forks
33
License
Custom
Last updated on GitHub
28 February 2026
Category
Easy Install
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
GitHub
// how it works

How it works

  1. Clone the repository

    Fetch the source code onto your machine.

  2. Install dependencies

    Set up the Python environment the project needs.

  3. Configure the project

    Copy the sample config or env file and adjust it.

  4. Run it

    Start the app from the source directory.

// features

Why people love it

Artificial Intelligence

Built around artificial intelligence for a focused workflow.

Chabot

Built around chabot for a focused workflow.

Computer Vision

Built around computer vision for a focused workflow.

Exercise Classification

Built around exercise classification for a focused workflow.

Open source

Inspect, fork, and modify every line of the code.

Self-hosted

Run it on your own machine — no account lock-in.

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// run it

Run it yourself

  1. Clone

    Get the source on your machine.

    git clone https://github.com/RiccardoRiccio/Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting.git
  2. Install

    Set up Python dependencies.

    cd Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting && pip install -r requirements.txt
  3. Start

    Launch the application.

    cd Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting && python main.py
// use cases

What you can build

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// faq

Questions, answered

What does Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting do?

It an extension of the previous 'Fitness-AI-Coach': a complete web application with real-time exercise recognition and counting. The exercise recognition model achieves 99% accuracy on the test set and 95% and 90% on two additional external datasets. || Give a star ⭐ to the repository if it was useful. Thank you! 😊, giving you a working starting point you can run and adapt.

Is Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting free to use?

Yes — the code is openly licensed, so you can use and modify it without a license fee.

How do I install Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting?

Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.

What is Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting written in?

It is primarily written in Python, so you will need that toolchain to build or extend it.

Where can I get help with Fitness-AI-Trainer-With-Automatic-Exercise-Recognition-and-Counting?

The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.

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// alternatives

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