Developed the foundational structure for an autonomous vehicle navigation project in the OpenHUTB/nn repository, focusing on seamless integration with ROS and deep learning workflows. The work involved creating a maintainable project scaffold in Python, enabling consistent development and testing of vehicle control features. Refactored and renamed core directories to improve clarity and onboarding for future contributors. No major bugs were reported, as the primary emphasis was on establishing a robust baseline for deep learning-driven navigation and ROS integration. This groundwork positioned the repository for accelerated feature development, leveraging expertise in autonomous vehicles, deep learning, and Python-based ROS environments.