https://github.com/devroopsaha744/fitvid
This is AI powered video based gym trainer, that monitors the form of gym exercises.
https://github.com/devroopsaha744/fitvid
Last synced: 3 months ago
JSON representation
This is AI powered video based gym trainer, that monitors the form of gym exercises.
- Host: GitHub
- URL: https://github.com/devroopsaha744/fitvid
- Owner: devroopsaha744
- License: apache-2.0
- Created: 2024-06-03T12:58:11.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-05T17:37:28.000Z (about 1 year ago)
- Last Synced: 2024-06-06T19:07:13.035Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 22.5 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# **FitVid** 🎥🏋️♂️
Welcome to **FitVid**, your AI-powered gym trainer! This innovative application utilizes advanced computer vision techniques to monitor and enhance your exercise form, ensuring you get the most out of your workouts.
## 🚀 Project Overview
FitVid leverages state-of-the-art AI technology to analyze your movements during gym exercises. With real-time feedback and guidance, you can perfect your form and maximize your training effectiveness.
For a deeper understanding of the project's approach and features, check out my detailed Medium article: [FitVid: AI-Powered Visual Gym](https://medium.com/@datafreakai/fitvid-ai-powered-visual-gym-42336427f5c1).
## 🛠️ Getting Started
### Prerequisites
Before you begin, make sure you have Python installed on your machine.
### Clone the Repository
To get started, clone the project repository to your local machine:
```bash
git clone https://github.com/devroopsaha744/FitVid.git
```
### Install Dependencies
Navigate to the project directory and install the required Python packages by running:
```bash
pip install mediapipe opencv-python ipykernel
```
### Running FitVid
Once the dependencies are installed, you're all set to test the **FitVid.ipynb** file on your local machine using VS Code or your preferred Jupyter environment.
## 📸 Features
- **AI-Powered Form Monitoring**: Get real-time feedback on your exercise form to prevent injuries and improve performance.
- **User-Friendly Interface**: Easy to use with straightforward setup and execution.
- **Comprehensive Analysis**: Gain insights into your workout routine and track your progress.
## 🤝 Contributions
I welcome contributions! Feel free to raise issues, suggest enhancements, or share your thoughts on the project.
## 📄 License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more information.
---
Join me in revolutionizing your gym experience with **FitVid**! Let's get fit together! 💪