The "Drone-Based Roadmapping and Condition Monitoring System" represents a pioneering interdisciplinary endeavor aimed at transforming road infrastructure assessment and maintenance practices. Integrating expertise from mechanical engineering, computer science engineering, artificial intelligence, machine learning engineering, and aerospace engineering, this project focuses on developing a cutting-edge drone-based system to revolutionize road surveying, data collection, and maintenance planning. Leveraging advanced technologies such as drones, image processing algorithms, artificial intelligence, and machine learning, the system aims to enhance accuracy, efficiency, and adaptability in road infrastructure management. Through the synthesis of insights from diverse research domains and the meticulous selection and integration of hardware, sensors, and software, the project pioneers a comprehensive solution for road assessment. The system's architecture, working principle, expected results, and discussions on machine learning model training, avionics, sensor workflows, and mechanical design underscore the project's innovative approach and potential to redefine road infrastructure management standards
