Computer Vision Interface

This project features an interactive PyQt5 desktop application designed to simulate a comprehensive **Computer Vision Interface**. It showcases advanced GUI elements, dynamic animations, and a modular architecture for easy maintenance and scalability. Users can interact with various controls, reorder processing steps via drag-and-drop, and monitor simulated system activities.

XXVault app interface showing encrypted message and social media icons

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💡 Project Highlights

Interactive Animated UI Elements

Implemented custom **AnimatedLabel** widgets that provide dynamic visual feedback, including click animations and subtle pulsing effects, enhancing user engagement.

2025

Drag-and-Drop Reordering

Developed functionality to allow users to **reorder configuration controls** within the interface using intuitive drag-and-drop actions, improving workflow customization.

2025

Modular and Maintainable Codebase

Refactored a monolithic application into a **modular structure** with dedicated files for UI elements, main window logic, and styling, promoting easier development and maintenance.

2025

Comprehensive Configuration Controls

Features a versatile set of standard Qt widgets including radio buttons, checkboxes (with tristate support), text inputs, spin boxes, and date/time editors, for **flexible system configuration**.

2025

Dynamic Theming and Accessibility

Includes a **style switcher** allowing users to change the application's visual theme on the fly, demonstrating robust styling capabilities and adherence to modern UI principles.

2025

Simulated Data and System Logging

Incorporates a tabbed interface for viewing a **simulated system log** and a **parameters table**, mimicking real-time data monitoring in a computer vision environment.

2025

💻 Technologies Used

Python PyQt5 Qt Designer (Implicit) QSS (Qt Style Sheets)