Changelog

• Added adaptive initial window dimensions detection for Windows displays to ensure seamless visibility on smaller screens and laptop resolutions.

• Implemented real-time integration with the StarCraft II Client API for automated match detection and precise player extraction, replacing the legacy OCR engine.
• Added new analysis metrics including "Account Maturity", "Unranked", and "Random" for more comprehensive smurf detection.
• Improved profile disambiguation with advanced barcode detection and clan tag filtering for players with common names.
• Refined analysis logic to require at least 10 valid matches and ensure only relevant race data is used for calculations.
• Completely overhauled the UI with a StarCraft II-inspired aesthetic.
• Added a new splash screen with editable settings and improved automated resolution of the local player's profile.
• Fully implemented the update notification system with background version polling and introduced granular controls for voice output volume.
• Finalized full cross-platform support for Windows, macOS, and Linux (Flatpak) with professional installers and optimized bundle sizes (~350-400MB).
• Implemented Dynamic Flask Port Allocation to automatically discover free ports and prevent local connectivity conflicts.
• Enhanced network resilience with a robust retry strategy and session management for external API communications.
• Added SSL validation diagnostics to identify and warn about incorrect system clocks that prevent secure API connections.
• Refined SC2 Pulse Flag detection to provide real-time voice warnings when community-flagged accounts are encountered.

• Fixed redundant match filtering and duplicate log messages during the analysis phase.

• Removed the obsolete OCR engine, models, and related name permutation logic.
• Removed the notes field from the profile view to declutter the interface.

• Initial release of the No Smurf desktop application core.
• Real-time screenshot monitoring.
• Integration with SC2 Pulse API for player profile data.
• Basic smurf detection algorithm and match history analysis.
• Flask-based interface for profile inspection.
• Visualization tools for performance plotting.
• Support for English OCR.