Abstract:
In the contemporary landscape of car insurance assessment, technological integration has emerged as a pivotal force. This abstract presents a pioneering application aimed at optimizing the assessment process for both car owners and insurance entities. By allowing seamless upload of damaged vehicle images, the system conducts detailed analysis, extracting vital information such as vehicle identification numbers, damage severity, and overall condition. Utilizing cutting-edge computer vision algorithms, notably the Inception v3 model, the system ensures precise and reliable analysis, markedly enhancing assessment efficiency and accuracy. Moreover, a real-time feedback mechanism enables continuous model refinement through reinforcement learning techniques. This innovative paradigm not only enriches user experience but also guarantees the system's adaptability and enduring efficacy in catering to evolving demands of car owners and insurance stakeholders
