kizsi2024/12I-SZ
Nov 2024 – Dec 2024
2 Months active
Languages Used
No languages
Technical Skills
No skills
Bertók Attila
PROFILE
Bertók Attila
Bertók Attila contributed to the kizsi2024/12I-SZ repository by developing and integrating AI-focused educational assets over a two-month period. He delivered binary artifacts, chat assistant resources, and PowerPoint presentations documenting AI history, enhancing onboarding and knowledge transfer without requiring code changes. In December, he expanded the repository with two new Scratch projects and supporting binary assets for AI history and object recognition, organizing them under a dedicated directory. His work emphasized asset management, repository organization, and version-controlled collaboration using git and Scratch, resulting in a more structured knowledge base that supports scalable future AI initiatives and educational content.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
0
Activity Months2
Your Network
49 people
Work History
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 (Month: 2024-12) – AI-related Scratch assets delivered for kizsi2024/12I-SZ. Key features: two new Scratch projects mutatóujjasjáték.sb3 and gépitanulás.sb3 added under the Bertók Attila directory, with supporting binary assets covering AI history, personal projects, and object/emotion recognition. Commits included de2cc71e7c2b3855ecd1557c1d54f7a888639e82 (oraimunka), 0afe7045a62f8a41b9ad4395da5f222972d42506 (orai), and 1b1744a27ae1942a4b31c867935732a5895ed522 (orai). No major bugs fixed this month; focus on feature delivery and asset integration. Impact: expands educational content, enables AI exploration, and lays groundwork for future features; Technologies/skills: repository organization, asset management, Scratch projects, binary assets, version control.
3 Commits • 1 Features
Dec 1, 2024December 2024 (Month: 2024-12) – AI-related Scratch assets delivered for kizsi2024/12I-SZ. Key features: two new Scratch projects mutatóujjasjáték.sb3 and gépitanulás.sb3 added under the Bertók Attila directory, with supporting binary assets covering AI history, personal projects, and object/emotion recognition. Commits included de2cc71e7c2b3855ecd1557c1d54f7a888639e82 (oraimunka), 0afe7045a62f8a41b9ad4395da5f222972d42506 (orai), and 1b1744a27ae1942a4b31c867935732a5895ed522 (orai). No major bugs fixed this month; focus on feature delivery and asset integration. Impact: expands educational content, enables AI exploration, and lays groundwork for future features; Technologies/skills: repository organization, asset management, Scratch projects, binary assets, version control.
December 2024
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary focused on enriching the AI knowledge base and onboarding materials with a comprehensive assets package and presentations, without requiring code changes. Delivered AI assets including binary artifacts and chat assistant resources, plus PowerPoint materials documenting AI history for knowledge sharing in kizsi2024/12I-SZ. This work enhances onboarding efficiency, accelerates knowledge transfer, and prepares the repository for future AI initiatives. No major bugs were reported; overall stability maintained. Demonstrated skills in asset management, documentation, and version-controlled collaboration (git).
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary focused on enriching the AI knowledge base and onboarding materials with a comprehensive assets package and presentations, without requiring code changes. Delivered AI assets including binary artifacts and chat assistant resources, plus PowerPoint materials documenting AI history for knowledge sharing in kizsi2024/12I-SZ. This work enhances onboarding efficiency, accelerates knowledge transfer, and prepares the repository for future AI initiatives. No major bugs were reported; overall stability maintained. Demonstrated skills in asset management, documentation, and version-controlled collaboration (git).
Activity
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Quality Metrics
Correctness60.0%
Maintainability60.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
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