
During his work on the kizsi2024/12I-H repository, Dániel Erdélyi developed modular visual recognition features, including hand, face, and object recognition, by designing new modules and updating the base game component to support these tasks. He also expanded the interactive content ecosystem by curating and integrating binary assets (.sb3) across multiple projects, enabling richer user experiences and improving asset reuse. His approach emphasized maintainability and scalability, establishing reusable patterns for future recognizer integration. Working primarily with JavaScript and asset management tools, Dániel delivered well-structured, auditable commits that enhanced both the technical foundation and content capabilities of the project.

December 2024: Delivered Visual Recognition Features (Hand, Face, and Object Recognition) with new recognition modules and updates to the base project and base game component to support recognition tasks. All changes are tracked under commit 40ea60101c5507b3c914275b82c64a27be007c80. No major bugs documented for this month. Overall impact: establishes modular visual recognition capabilities that can enhance user experience, gameplay interactions, and future AR/VR workflows, while providing a scalable foundation for additional recognizers. Key achievements: - Delivered Visual Recognition Features (hand, face, object recognition) with new modules and integration points. - Updated base project and base game component to support recognition tasks, enabling smooth future feature rollouts. - Created a clear, traceable change set with a dedicated commit, supporting auditability and rollback if needed. - Built a reusable pattern for adding new recognizers and integrating them into existing game logic.
December 2024: Delivered Visual Recognition Features (Hand, Face, and Object Recognition) with new recognition modules and updates to the base project and base game component to support recognition tasks. All changes are tracked under commit 40ea60101c5507b3c914275b82c64a27be007c80. No major bugs documented for this month. Overall impact: establishes modular visual recognition capabilities that can enhance user experience, gameplay interactions, and future AR/VR workflows, while providing a scalable foundation for additional recognizers. Key achievements: - Delivered Visual Recognition Features (hand, face, object recognition) with new modules and integration points. - Updated base project and base game component to support recognition tasks, enabling smooth future feature rollouts. - Created a clear, traceable change set with a dedicated commit, supporting auditability and rollback if needed. - Built a reusable pattern for adding new recognizers and integrating them into existing game logic.
Month 2024-11 — Expanded the interactive content capabilities by delivering a comprehensive asset/content library update in kizsi2024/12I-H. Added new binary assets (.sb3) for multiple projects (chat gpt, klipp, maze, prbesz d, tortenet) and created a separate project file under the 'Erdélyi Dániel' directory to enable new content/features. This work strengthens the content ecosystem, shortens time-to-market for new interactive experiences, and improves consistency and reuse across projects. The work includes two commits (d6e6928... parbeszed; 0962cd3... Az én projectem) demonstrating asset curation and collaboration.
Month 2024-11 — Expanded the interactive content capabilities by delivering a comprehensive asset/content library update in kizsi2024/12I-H. Added new binary assets (.sb3) for multiple projects (chat gpt, klipp, maze, prbesz d, tortenet) and created a separate project file under the 'Erdélyi Dániel' directory to enable new content/features. This work strengthens the content ecosystem, shortens time-to-market for new interactive experiences, and improves consistency and reuse across projects. The work includes two commits (d6e6928... parbeszed; 0962cd3... Az én projectem) demonstrating asset curation and collaboration.
Overview of all repositories you've contributed to across your timeline