Road infrastructure requires continuous monitoring to remain safe, functional, and efficient. As cities expand and highway networks become larger, manually inspecting every road segment on a regular basis becomes increasingly difficult. Traditional road inspections often involve field teams travelling across road networks, identifying potholes, cracks, surface deterioration, and other defects, recording observations, taking photographs, and preparing reports. While physical inspections remain important, modern technologies such as artificial intelligence, computer vision, GIS, GPS, and mobile data collection are changing how road conditions can be monitored and assessed. An AI Road Condition Monitoring System provides a digital approach to road inspection by combining automated visual analysis with geographic information and infrastructure management. Instead…