Authors :
B. Aathif; C. Akash; R. Sona; M. P. Mageshwari; Surenther I.; Sathya K.; Dr. Manikandan S. Akash C
Volume/Issue :
Volume 9 - 2024, Issue 1 - January
Google Scholar :
http://tinyurl.com/3v22dk4m
Scribd :
http://tinyurl.com/43arua79
DOI :
https://doi.org/10.5281/zenodo.10516647
Abstract :
The primary objective of the Insurance Policy
Recommendation project is to revolutionize the insurance
industry by delivering highly customized policy
recommendations based on individual users' specific
needs and criteria. Unlike traditional one-size-fits-all
approaches, this project leverages advanced Language
Model (LLM) technology to provide tailored insurance
policy suggestions. However, several challenges in
insurance policy recommendations need to be addressed.
These challenges include understanding complex user
requirements, analyzing vast textual data, and ensuring
data privacy and security. Despite these difficulties, the
project strives to offer a comprehensive and adaptive
framework that empowers policyholders to make
informed decisions about their insurance coverage,
ultimately fostering a more responsive and customer-
centric insurance ecosystem.The primary objective of the Insurance Policy
Recommendation project is to revolutionize the insurance
industry by delivering highly customized policy
recommendations based on individual users' specific
needs and criteria. Unlike traditional one-size-fits-all
approaches, this project leverages advanced Language
Model (LLM) technology to provide tailored insurance
policy suggestions. However, several challenges in
insurance policy recommendations need to be addressed.
These challenges include understanding complex user
requirements, analyzing vast textual data, and ensuring
data privacy and security. Despite these difficulties, the
project strives to offer a comprehensive and adaptive
framework that empowers policyholders to make
informed decisions about their insurance coverage,
ultimately fostering a more responsive and customer-
centric insurance ecosystem.
Keywords :
Natural Language Processing, Generative AI, Recommendation System, Insurance Policy, Large Language Model.
The primary objective of the Insurance Policy
Recommendation project is to revolutionize the insurance
industry by delivering highly customized policy
recommendations based on individual users' specific
needs and criteria. Unlike traditional one-size-fits-all
approaches, this project leverages advanced Language
Model (LLM) technology to provide tailored insurance
policy suggestions. However, several challenges in
insurance policy recommendations need to be addressed.
These challenges include understanding complex user
requirements, analyzing vast textual data, and ensuring
data privacy and security. Despite these difficulties, the
project strives to offer a comprehensive and adaptive
framework that empowers policyholders to make
informed decisions about their insurance coverage,
ultimately fostering a more responsive and customer-
centric insurance ecosystem.The primary objective of the Insurance Policy
Recommendation project is to revolutionize the insurance
industry by delivering highly customized policy
recommendations based on individual users' specific
needs and criteria. Unlike traditional one-size-fits-all
approaches, this project leverages advanced Language
Model (LLM) technology to provide tailored insurance
policy suggestions. However, several challenges in
insurance policy recommendations need to be addressed.
These challenges include understanding complex user
requirements, analyzing vast textual data, and ensuring
data privacy and security. Despite these difficulties, the
project strives to offer a comprehensive and adaptive
framework that empowers policyholders to make
informed decisions about their insurance coverage,
ultimately fostering a more responsive and customer-
centric insurance ecosystem.
Keywords :
Natural Language Processing, Generative AI, Recommendation System, Insurance Policy, Large Language Model.
