Developed and integrated recognition-centric assets within the kizsi2024/12I-H repository, focusing on enabling robust image and object recognition workflows. The work centered on provisioning binary datasets for face and object recognition, supporting production-ready feature development and accelerating customer demonstration capabilities. Expanded the repository’s demonstration content by creating a Scratch asset pack, which diversified both game content and AI demo scenarios. The technical approach emphasized asset readiness and seamless integration, leveraging skills in image recognition and dataset management. No major bugs were reported, as the month’s efforts prioritized asset delivery, runtime validation planning, and preparation for production deployment workflows.