2024-10 Monthly summary for ColumbiaCGUI/PolXR focusing on delivering data-visualization mesh assets and pipeline automation. Key work delivered a Python-based mesh generation workflow converting data products (DEMs and radar data) into Unity-ready mesh assets (OBJ, MTL, PNG) to support a Unity data-visualization pipeline. The deliverable enables ingestion into Blender and Unity, enabling faster visualization asset generation and richer previews for stakeholders. Major bugs fixed: No major bugs reported in this period; work concentrated on feature delivery and pipeline reliability. Overall impact: Accelerated the end-to-end data visualization pipeline, enabling consistent mesh assets from diverse data sources, reducing manual steps, and laying groundwork for automated asset generation and deployment in Unity. Reinforced data processing and visualization capabilities for stakeholder demos and product demonstrations. Technologies/skills demonstrated: Python scripting for data preparation, mesh generation (OBJ/MTL/PNG), handling of DEMs and radar data, Unity and Blender asset pipelines, version control, and reproducible data workflows.