Gym-Generator 🏋️

A desktop application that generates randomized gym workout routines following an Upper/Lower split training program. Perfect for adding variety to your strength training and preventing workout plateaus.

📋 Overview

Gym-Generator creates customized workout plans by randomly selecting exercises from scientifically backed exercise categories. The app generates three distinct training days:

• Upper 1: Chest, back, and shoulder exercises (6 exercises)
• Legs 1: Complete lower body routine (6 exercises)
• Upper 2: Alternative upper body exercises to ensure variety (6 exercises)

Each workout is designed to target major muscle groups with a mix of compound and isolation movements.

✨ Features

• Randomized Exercise Selection: Never do the same exact workout twice
• Upper/Lower Split Program: Efficient training structure for strength and hypertrophy
• Balanced Programming: Ensures coverage of all major muscle groups
• Simple GUI: Clean, user-friendly PyQt5 interface
• One-Click Generation: Generate a new weekly routine instantly
• Exercise Variety: Includes both primary compound movements and accessory exercises

🚀 Installation

Prerequisites

• Python 3.9+ (tested on Python 3.9)
• Windows OS (PyQt5 configured for Windows)

Setup

1. Clone the repository:

git clone https://github.com/deep-kapadia-6/Gym-Generator.git
cd Gym-Generator

2. Install required dependencies:

pip install -r requirements.txt

Dependencies include:

1. numpy - For random exercise selection
2. PyQt5 - For the GUI application

💻 Usage

Running the Desktop App

python app.py

This launches the PyQt5 GUI window, where you can:

1. Click the "Generate Routine" button
2. View your randomized 3-day workout split
3. Generate new routines as needed

Using the Jupyter Notebook

Alternatively, explore the exercise randomization logic interactively:

jupyter notebook gym_shuffle.ipynb

The notebook contains the same exercise selection algorithm and can be used for testing or customization.

📂 Project Structure

Gym-Generator/ ├── app.py # Main PyQt5 desktop application ├── gym_shuffle.ipynb # Interactive Jupyter notebook version ├── requirements.txt # Python dependencies ├── static/ │ └── dumbbell.ico # Application icon ├── LICENSE # MIT License └── README.md # This file

🎯 Exercise Categories

The app includes exercises organized by muscle groups:

Upper Body: Chest Primary: Barbell bench press, Incline bench press Chest Secondary: Flat/Incline dumbbell press, Cable flys, Pushups Back Primary: Lat pulldown, Weighted pullups Back Secondary: Seated/Bent over rows, Lat pushdowns, Face pulls Shoulder Primary: Barbell shoulder press Shoulder Secondary: Dumbbell shoulder press, Lateral raises, Cable crossover

Lower Body: Quads Primary: Back squat, Front squat Quads Secondary: Leg press, Split squats, Lunges Glutes: Hip thrusts, Deadlift, Romanian deadlift, Glute ham raise, Sled push Hamstrings: Seated/Prone leg curl Calves: Standing/Seated calf raise, Leg press calf raise Quad Finisher: Leg extensions

🎨 Customization

To modify the exercise pool, edit the exercise lists in either:

app.py (lines 41-55) in the week() method

gym_shuffle.ipynb (cell 2) in the week() function

Example:

self.chest1 = ['Barbell bench press', 'Incline bench press', 'Your custom exercise']

🛠️ Technical Details

Framework: PyQt5 for cross-platform GUI Randomization: NumPy's random choice for exercise selection Architecture: Simple object-oriented design with clear separation of UI and logic Window Size: 1200x300 pixels (optimized for routine display)

📝 Example Output

Upper1: Incline bench press, Weighted pullups, Barbell shoulder press, 
        Cable flys, Face pulls, Lateral raises

Legs1: Standing calf raise, Front squat, Lunges, Deadlift, 
       Leg extensions, Seated/prone leg curl

Upper2: Barbell bench press, Lat pulldown, Barbell shoulder press, 
        Flat dumbbell press, Bent over row, Single arm leaning in raise

🤝 Contributing

Contributions are welcome! Feel free to:

1. Add new exercises to the database
2. Improve the UI/UX
3. Add features like workout logging or progress tracking
4. Fix bugs or improve documentation
5. Please open an issue or submit a pull request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

Exercise selection based on evidence-based resistance training principles

Built for personal use and shared with the fitness community

📧 Contact

Created by @deep-kapadia-6

Note: Always consult with a fitness professional before starting any new workout program. This app is for educational and organizational purposes.