Paper Title

DESIGNING A METADATA-DRIVEN GENERIC SEARCH FRAMEWORK FOR SCALABLE INSURANCE PLATFORMS

Authors

Profile picture of Anand Sharma
Anand Sharma

Keywords

  • metadata
  • insurance
  • ai
  • scalability

Journal

International Journal of Computer Engineering and Technology (IJCET) External link

Publication Info

Volume: 16 | Issue: 3 | Pages: 56-66

Published On

May, 2025

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Abstract

In this research we design a scalable insurance platform search framework based on metadata. The solution increases discovery efficiency and system scalability with the help of metadata decoupling, dynamic UI generation and predictive caching. Using simulations, these achieve a great latency, precision, and throughput while providing a robust modernization path for modern insurance data infrastructure.

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