During two months on the airport-ai-facility-monitoring/backend_workspace repository, Nam Gangmin developed a real-time CCTV object detection dashboard using YOLOv8, integrating computer vision models with a React frontend and FastAPI backend. He implemented live bounding box visualization, robust API endpoints, and environment provisioning to support scalable monitoring. Nam also enhanced notice management by building file upload and download features with validation, improved navigation and UI design, and integrated weather and predictive analytics APIs. His work included resolving CORS and gateway configuration issues, ensuring reliable deployment. Using Python, Java, and Docker, he delivered end-to-end features with strong attention to integration and maintainability.
August 2025 performance summary for airport-ai-facility-monitoring/backend_workspace. Delivered high-impact features, stabilized stack with API/config fixes, and expanded data integration and content management capabilities. Key user-facing features include back navigation on the notices detail page, weather API integration with CCTV/map image linking on the main home, and a main home notice preview box. Implemented comprehensive notice file upload/download functionality with validation and restrictions, and enhanced notice list management with importance tagging and UI improvements. Prepared the frontend for predictive analytics by extracting and exposing predicted values, alongside a robust search capability to improve information discovery. Major bug fixes across API routing, CORS configuration, WebConfig, gateway coordination, and download/file handling, contributing to platform stability and faster delivery cycles.
August 2025 performance summary for airport-ai-facility-monitoring/backend_workspace. Delivered high-impact features, stabilized stack with API/config fixes, and expanded data integration and content management capabilities. Key user-facing features include back navigation on the notices detail page, weather API integration with CCTV/map image linking on the main home, and a main home notice preview box. Implemented comprehensive notice file upload/download functionality with validation and restrictions, and enhanced notice list management with importance tagging and UI improvements. Prepared the frontend for predictive analytics by extracting and exposing predicted values, alongside a robust search capability to improve information discovery. Major bug fixes across API routing, CORS configuration, WebConfig, gateway coordination, and download/file handling, contributing to platform stability and faster delivery cycles.
July 2025 monthly performance summary for airport-ai-facility-monitoring/backend_workspace: Delivered real-time CCTV object detection dashboard using YOLOv8 with environment setup, a detection API, polling hook, and UI integration for live bounding boxes and identifications. Updated deployment environment to reflect a new service instance by aligning frontend API base URLs, refresh token endpoints, and gateway configuration, improving reliability and parity across services. This work enhances situational awareness, accelerates incident response, and provides a scalable foundation for future monitoring features. Demonstrated strong skills in computer vision, API development, frontend-backend integration, and environment provisioning.
July 2025 monthly performance summary for airport-ai-facility-monitoring/backend_workspace: Delivered real-time CCTV object detection dashboard using YOLOv8 with environment setup, a detection API, polling hook, and UI integration for live bounding boxes and identifications. Updated deployment environment to reflect a new service instance by aligning frontend API base URLs, refresh token endpoints, and gateway configuration, improving reliability and parity across services. This work enhances situational awareness, accelerates incident response, and provides a scalable foundation for future monitoring features. Demonstrated strong skills in computer vision, API development, frontend-backend integration, and environment provisioning.
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