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https://github.com/ondrejhruby/timebox

A Python program designed to help you manage your time efficiently by creating timed work sessions, enhancing productivity, and keeping you on track.
https://github.com/ondrejhruby/timebox

automation command-line-tool focus pomodoro-technique productivity python scripting time-management timer workflow-enhancement

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A Python program designed to help you manage your time efficiently by creating timed work sessions, enhancing productivity, and keeping you on track.

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# TimeBox

TimeBox is a Python-based time management tool that helps you improve productivity by breaking your work into timed sessions. This simple yet effective program allows you to set work intervals followed by short breaks, ensuring you stay focused and productive.

## Features

- **Timed Sessions**: Set specific work intervals to help you stay focused.
- **Break Reminders**: Get notified when it's time to take a break.
- **Customizable Durations**: Easily adjust work and break intervals to suit your needs.
- **Minimal Interface**: Simple and easy to use, perfect for personal productivity.

## Installation

1. Clone the repository:
```bash
git clone https://github.com/yourusername/TimeBox.git
```
2. Navigate to the project directory:
```bash
cd TimeBox
```
3. Install any required dependencies:
```bash
pip install -r requirements.txt
```

## Usage

1. Run the script:
```bash
python TimeBox.py
```
2. Follow the prompts to set your desired work and break durations.
3. The program will notify you when each session ends.

## Skills Learned

- Time Management: Understanding and implementing time-boxing techniques.
- Python Scripting: Writing efficient Python code to create a practical productivity tool.
- User Interaction: Creating a simple command-line interface for user inputs.
- Timing Functions: Using Python’s time and datetime modules to manage session timing.

## Future Improvements
- GUI Development: Implement a graphical user interface for a more user-friendly experience.
- Machine Learning Integration: Use ML algorithms to analyze user behavior and suggest optimal work/break intervals based on productivity data. The model could learn from past sessions to recommend adjustments that improve focus and efficiency over time.
- Notification System: Integrate with desktop notifications to alert users visually and audibly.
- Session Tracking: Add functionality to track completed sessions and generate productivity reports.
- Custom Sounds: Allow users to customize alarm sounds for session and break notifications.

## Contributing
Contributions are welcome! Feel free to fork the project and submit a pull request.