Worked on the luxonis/depthai-core repository, focusing on improving the DynamicCalibration Python example by addressing a bug related to incorrect variable names and print statements. Applied expertise in Python development, computer vision, and embedded systems to enhance code readability and maintainability, updating comments to clarify the initialization and linking of nodes and queues. These changes improved the reliability of the example and streamlined developer onboarding, making it easier for new users to integrate DepthAI core into their workflows. Delivered the improvements with a minimal code footprint, demonstrating attention to clarity and correctness while maintaining the original structure and intent of the example.