AI based Road Analysis System using YOLOv8 Inception V3 Augmented Reality and Explainable AI

The proposed model integrates YOLOv8-based object detection, Inception V3-based image classification, Augmented Reality (AR) overlays for real- time visual feedback, and Explainable AI (XAI) modules to enhance transparency in road-condition interpretation. The innovation lies in combining advanced deep learning architectures with AR-driven spatial feedback and interpretable AI maps for safer navigation insights. The outcome of the system demonstrates improved detection accuracy, reduced false positives, enhanced user interaction via AR overlays, and improved trustworthiness due to XAI integration. The system achieves notable improvements over traditional road-analysis models.