This report presents a competency demonstration for an intelligent reverse braking system project, focusing on the application of production engineering skills. The project aimed to develop an electronically controlled braking system using proximity sensors and a neural network for enhanced vehicle safety. The report details the project's background, objectives, and the author's role in developing the vehicle's structural skeleton, ensuring the system's functionality and cost-effectiveness. Key aspects include the implementation of an opto transmitter and receiver pair, a compressed air tank, and the resolution of issues related to sensor range. The author highlights the collaborative efforts with team members and the application of engineering knowledge to improve the system's performance, particularly in detecting obstacles at greater distances and managing deceleration. The project's success is evaluated based on its accuracy, stability, and potential to prevent traffic accidents, emphasizing the intelligent braking system's ability to enhance driver safety. The report concludes with a review of the project, the author's contributions, and the overall impact of the developed system.