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https://github.com/haleshot/pyqt5


https://github.com/haleshot/pyqt5

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README

          

# PyQt5 Projects

This repository contains a collection of projects created using [PyQt5](https://doc.qt.io/qtforpython-5/contents.html), a Python binding for the Qt application framework. Each project uses PyQt5 as an UI framework to display their functionality.

## Table of Contents

1. [Projects](#projects)
2. [Getting Started](#getting-started)
3. [Contributing](#contributing)
4. [License](#license)

## Projects

| Serial Number | Project Title | Description | Tools Used | Repository Link |
|---------------|---------------|-------------|------------|-----------------|
| 1 | Attendance System using Facial Recognition System | Attendance system using facial recognition system. Utilizes haarcascade classifiers for face detection and recognition. Stores attendance in Excel files and generates training images for face detection. | OpenCV, Haarcascade classifiers, Excel, Python, PyQt5 | [Attendance System](https://github.com/Haleshot/attendance_system) |
| 2 | Flight Ticket Booking Management System | Flight ticket booking management system with Python and MySQL connectivity. Provides user-friendly GUI using PyQt5 library. Features include user accounts, OTP verification, flight details, and payment and cancellation functionalities. | Python, PyQt5, MySQL, Twilio | [Flight Booking System](https://github.com/Haleshot/Flight_Booking_System) |
| 3 | Image Processing - Edge Detection | Edge detection project using the Laplacian filter and other image processing techniques such as LPF, HPF, and thresholding. Implements these techniques in MATLAB and analyzes results using various test images. | OpenCV, Python, PyQt5 | [Image Processing](https://github.com/Haleshot/Image_Processing) |

## Getting Started

To get started with any of the projects, follow the steps provided in their respective README files:

## Contributing

If you would like to contribute to this repository, please follow these guidelines:

1. Fork the repository.

2. Create a new branch for your feature/bug fix.

3. Make your changes and commit them.

4. Push your changes to your forked repository.

5. Submit a pull request with a clear description of your changes.

## License

This repository is licensed under the [MIT License](LICENSE). Feel free to use the code for educational and personal purposes.