Web-Based Application Designed to Detect and Classify Scam Emails, Malicious URL

Angel Cerli1, A. and Sharuk, V. (2025) Web-Based Application Designed to Detect and Classify Scam Emails, Malicious URL. IJMRSET, 8 (6).

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Abstract

The evolving landscape of insurance demands sophisticated solutions for efficient agent management.
Our project addresses this need by introducing a comprehensive system designed to streamline agent operations and
enhance customer service. Built on PHP Laravel and Bootstrap 4, with MySQL as the backend, the system boasts a
user-friendly interface and dynamic features tailored to the insurance industry's intricacies. Key features include
dynamic premium calculation, robust validation mechanisms, and flexible order management capabilities. The system
empowers agents to efficiently handle diverse customer portfolios while ensuring accuracy and compliance through
advanced algorithms. Moreover, the role-based access control ensures secure data management and tailored user
experiences. Looking towards the future, our system is poised for scalability and adaptability. Integration with cloud
computing technologies promises enhanced performance, scalability, and cost-effectiveness. Advanced algorithms
drive insightful analytics, empowering agents with actionable insights to drive business growth. Furthermore, plans to
incorporate APIs for

Item Type: Article
Subjects: Computer Science > Web Technologies
Domains: Computer Science
Depositing User: Mr Prabakaran Natarajan
Date Deposited: 22 Dec 2025 06:59
Last Modified: 22 Dec 2025 06:59
URI: https://ir.vistas.ac.in/id/eprint/11794

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