• Dr. SK. Syed Basha
• A. Gopi
• CH. Chandush
• D. Sameer

Infrastructure Road infrastructure is very crucial in road safety and economic development [10]. However, road sur- faces wear out with time because of traffic, environmental fac- tors and deteriorated materials creating defects like potholes, etc [2], [8]. Normal road inspection. Surveys and complaints of the people are done manually, and they are depended on to identify the methods. are labor intensive, time-consuming and human error prone [10]. New developments in artificial intelligence and computer vision. Automated road damage detection has been possible using [1]–[3]; current systems pay attention only to the accuracy of defect detection and lack introduced geospatial reporting and severity analysis [6]. This paper is an AI-based road damage auditing and GPS. combines road damage based on deep learning-based reporting system. identification using real-time geolocation through GPS and severity. assessment. The suggested system identifies the abnormalities in the roads, sets geographic coordinates, and maps the locations of damage. on electronic maps to assist in the process of effective municipal maintenance. intelligent city facility management [6], [10].

Road infrastructure, road safety, economic development, pothole detection, road damage auditing, artificial intelligence (AI), computer vision, deep learning, automated damage detection, geospatial reporting, severity assessment, real-time geolocation, GPS, electronic mapping, municipal maintenance, and intelligent city facility management.

"AI Powered Road Damage Auditing and GPS Reporting System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.d673-d676, March-2026, Available :http://www.jetir.org/papers/JETIR2603383.pdf

"AI Powered Road Damage Auditing and GPS Reporting System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. ppd673-d676, March-2026, Available at : http://www.jetir.org/papers/JETIR2603383.pdf