INSURANCE MANAGEMENT SYSTEM

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Abstract

The The Insurance Management System is a web-based application designed to automate and streamline insurancerelated operations for both administrators and users.The system provides an efficient platform to manage insurance policies, customer details, premium payments, claims, and policy renewals in a centralized manner.By replacing manual and paper-based processes, the system reduces errors, saves time, and improves data accuracy.The proposed system allows users to register, view available insurance policies, purchase policies, pay premiums online, submit claims, and track claim status.Administrators are responsible for managing policy information, approving or rejecting claims, monitoring payments, and generating reports.The system ensures secure data handling through user authentication and role-based access control.Developed using Python Django and a relational database, the Insurance Management System offers scalability, reliability, and ease of maintenance.It enhances transparency between insurers and customers while improving operational efficiency.This system is suitable for insurance companies seeking digital transformation and better customer service management.The system also provides real-time access to insurance data, enabling faster decision-making and improved customer satisfaction.Automated notifications and reminders help users stay informed about premium due dates, policy expirations, and claim updates.By integrating modern web technologies, the Insurance Management System ensures high performance, data security, and user-friendly interaction.Overall, the system minimizes administrative workload, enhances transparency, and supports efficient management of insurance services in a digital environment

Fields of Study & Subjects

Engineering and Information Technology Decision Support System Applications Insurance and Financial Risk Management

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
12 January 2026