
Contributed to the YuichiFujita/2024_TeamGraduation repository by developing and refining a diverse set of 3D assets, character models, and UI features over a two-month period. Focused on asset creation, integration, and optimization using C++, Maya, and custom data formats, the work included implementing live-commentary setups, expanding the character library, and enhancing visual fidelity through texture mapping and UV unwrapping. Delivered features such as customizable hairstyles, AI voice support, and educational or medical props, while also stabilizing the asset pipeline and improving editor functionality. Addressed both feature development and bug fixes, supporting scalable, high-quality game development workflows.
January 2025 focused on delivering high-fidelity visual assets, stabilizing the asset pipeline, and expanding the character library for YuichiFujita/2024_TeamGraduation. The work improved visual quality, streaming readiness, and asset scalability while laying groundwork for future customization and iteration cycles.
January 2025 focused on delivering high-fidelity visual assets, stabilizing the asset pipeline, and expanding the character library for YuichiFujita/2024_TeamGraduation. The work improved visual quality, streaming readiness, and asset scalability while laying groundwork for future customization and iteration cycles.
December 2024 monthly summary for YuichiFujita/2024_TeamGraduation. The month focused on delivering immersive live-commentary capabilities, expanding the asset library, UI enhancements, and enabling diverse character appearances for demos and showcases. Deliverables spanned end-to-end live commentary assets, educational/medical props, UI improvements, hair/AI voice systems, and a broad set of character models with improved textures.
December 2024 monthly summary for YuichiFujita/2024_TeamGraduation. The month focused on delivering immersive live-commentary capabilities, expanding the asset library, UI enhancements, and enabling diverse character appearances for demos and showcases. Deliverables spanned end-to-end live commentary assets, educational/medical props, UI improvements, hair/AI voice systems, and a broad set of character models with improved textures.

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