In the Vehicle insurance Sector, efficient and accurate damage assessment is essential for timely claims processing. Traditional methods often rely on manual inspections, which are labor intensive, slow, and inconsistent. The integration of AI, particularly computer vision and deep learning offers a transformative approach to this challenge. By leveraging advanced image and video processing techniques, these systems provide an efficient way of evaluating the severity of damage, and reducing the need for physical examinations and expediting the claims process. Deep Learning models play a crucial role in improving the precision of damage detection and cost estimation. These AI systems provide insurers with reliable damage assessment and facilitating more accurate and timely decisions regarding repair or replacement of damaged part considering factors such as the brand, model of the vehicle and other factors. Moreover, with the integration of self-service tools, policyholders are able to upload images and videos directly, enabling a seamless and inspection-less claims process. The adoption of AI based solutions not only enhances user convenience but also reduces operational overhead, resulting in efficient and effective claims management.