
Over a three-month period, contributed to the kizsi2024/12K-SZ repository by developing seven features and resolving one bug, focusing on educational content and computer vision workflows. Work included expanding Scratch-based projects with emotion and object recognition features, stabilizing game assets, and enriching learning resources with scalable media delivery. Leveraging Python and OpenCV, implemented real-time webcam capture and image processing demos to support rapid prototyping and stakeholder validation. Emphasized clear documentation, binary asset management, and commit-level traceability to streamline onboarding and reviews. The technical approach balanced foundational machine learning perception, file management, and hands-on image processing to enhance both usability and maintainability.
January 2025 performance highlights: Delivered a compact OpenCV demos suite in kizsi2024/12K-SZ to accelerate CV prototyping and onboarding. Implemented real-time webcam capture and basic image processing workflows, with clear visual comparisons and an easy exit workflow.
January 2025 performance highlights: Delivered a compact OpenCV demos suite in kizsi2024/12K-SZ to accelerate CV prototyping and onboarding. Implemented real-time webcam capture and basic image processing workflows, with clear visual comparisons and an easy exit workflow.
December 2024 - kizsi2024/12K-SZ: Delivered foundational ML-perception features, expanded Scratch-based projects, and stabilized assets. Implemented emotion recognition and object recognition initializations with binary assets in Bauer Patrik directory; added Scratch labs and space battle assets; updated labyrinth project and introduced dogvscat; fixed Space Battle assets to stabilize gameplay. This work creates a scalable foundation for ML-enabled experiences, broadens educational content, and improves asset reliability for the single-player game.
December 2024 - kizsi2024/12K-SZ: Delivered foundational ML-perception features, expanded Scratch-based projects, and stabilized assets. Implemented emotion recognition and object recognition initializations with binary assets in Bauer Patrik directory; added Scratch labs and space battle assets; updated labyrinth project and introduced dogvscat; fixed Space Battle assets to stabilize gameplay. This work creates a scalable foundation for ML-enabled experiences, broadens educational content, and improves asset reliability for the single-player game.
Month: 2024-11 — Delivered feature-focused improvements in kizsi2024/12K-SZ by enriching learning resources and media assets. No major defects reported this month; changes are isolated to the feature enhancement with clear traceability. The work lays groundwork for scalable content updates and better learner engagement.
Month: 2024-11 — Delivered feature-focused improvements in kizsi2024/12K-SZ by enriching learning resources and media assets. No major defects reported this month; changes are isolated to the feature enhancement with clear traceability. The work lays groundwork for scalable content updates and better learner engagement.

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