Card Collection Project
Qt/QML + Python Desktop Application
Project Overview
A desktop application for discovering and collecting Pokémon cards. Features include API-driven card searching, a "discover" mode simulating wild Pokémon encounters, and collection management. The application emphasizes minimal local storage, with dynamic resource loading at runtime.
Technologies Used
Core Technologies
- Python
- PySide6
- Qt Quick 2
- QML/JavaScript
Development Tools
- Qt Creator
- Qt Designer
- Git/GitHub
- Pokémon TCG API
Implementation Details
Key Features
- Advanced Card Search
- Random Card Discovery
- Collection Management
- Dynamic Resource Loading
Core Components
- API Integration
- QML UI Components
- Card Data Models
- Local Storage System
Challenges Faced
Dynamic Resource Management
Efficiently loading and managing card images and UI assets at runtime
Implemented asynchronous loading system with caching mechanisms
Qt/Python Integration
Complex interactions between Python backend and QML frontend
Developed robust signal/slot system for seamless data flow
API Rate Limiting
Managing API request limits while maintaining responsiveness
Implemented request queueing and local data caching
Project Outcomes
Achievements
- Fully functional search system
- Engaging discover feature
- Efficient collection management
- Minimal local storage footprint
Future Improvements
- Enhanced search filters
- Deck building feature
- Collection statistics
- Export functionality
Demo Videos
Development Gallery
Version 1 - Initial Mockup
Version 2 - Basic UI Implementation
Version 3 - Search Functionality
Version 4 - Discover, Modularized, and 3D View
