International Journal of Science, Engineering and TechnologyAuthors: Priya Malik, Tripti kashyap, Nikita Panwar, Jatin Kamboj
Abstract: In order to maintain road safety and legal compliance, it is essential to keep precise track of when auto insurance expires. In this research, an AI-based system that uses sophisticated image recognition techniques to automatically detect and track the expiration dates of motor insurance is proposed. The system uses machine learning (ML) models and optical character recognition (OCR) to extract pertinent data from digital photos of insurance documents, including the policy number, expiration date, and vehicle details. Providing consumers with real-time warnings for insurance renewals, this system's seamless integration with web-based and mobile platforms is one of its primary features. Through comprehensive testing on a wide range of auto insurance document datasets, we show that the system is highly accurate and efficient at extracting expiration dates from a variety of document types and formats.Our findings demonstrate the potential for this AI-driven solution to support larger efforts in automating compliance and improving user convenience in the insurance domain. The suggested system offers scalability for fleet management systems, making it a versatile tool for both individual and enterprise-level use. It also greatly improves upon traditional manual tracking methods by automating the process, reducing human error, and ensuring timely insurance renewals.
DOI: http://doi.org/
