🎉 Image Sorter 🎉

Introducing the "Image Sorter," an innovative Python project designed to transform your image management experience. This comprehensive tool combines advanced image processing techniques, file handling capabilities, image recognition, and a secure login system, all wrapped in an intuitive graphical user interface (GUI), to provide you with a seamless and efficient way to organize and manipulate your image collection.

✨Key Features

Background Removal Magic
Multi-Format Conversion
Effortless Image Retrieval
Smart Sorting Technology

💻 Technical Highlights

GUI-Powered Interaction
Image Processing Expertise
File Handling Mastery
Format Conversion Magic
Image Recognition Power
Secure Login Implementation

🛠 Skills

Python, Image Processing, Graphical User Interface (GUI), File Handing,

📌 Conclusion

The "Image Sorter" is more than just an image management tool; it's a game-changer in how you handle and organize your image collection. With its advanced background removal, versatile format conversion, smart sorting, and image recognition capabilities, all integrated into a user-friendly GUI, this project streamlines your image-related tasks. The added layer of security through the login system ensures your data remains confidential. Experience a new level of image management with the "Image Sorter" - where innovation meets functionality.

📷 Screenshots

💻 Installation

To set up the NotePad GUI project on your system, follow these steps:

Python: Ensure you have Python installed on your system. You can download it from python.org.
Required Libraries : This project uses several Python libraries for GUI development. You can install these dependencies using the following command:

  pip install -r requirements.txt

🕹 Run Locally

Clone the project

  git clone https://github.com/RaST-EDITH/Image_Sorter.git

Go to the project directory

  cd Image_Sorter

Create a virtual environment (recommended):

  python -m venv venv

Activate the virtual environment:

On Windows:

  .\venv\Scripts\activate

On macOS and Linux:

  source venv/bin/activate

Install the project dependencies from the requirements.txt file:

  pip install -r requirements.txt

Now, you have all the necessary packages installed in your virtual environment. You can start using the project. To deactivate the virtual environment when you're done, simply run:

  deactivate

😊 Contributing

Contributions to this project are welcome. If you have ideas for improvements or would like to extend its functionality, please consider forking the repository and submitting a pull request.

📎 Contact

If you have any questions or need assistance with the project, please don't hesitate to contact me at

We are here to help you stay organized and monitor your daily task progress effectively.