Publication Date: 2024/01/16
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.
DOI: https://doi.org/10.5281/zenodo.10516647
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24JAN107.pdf
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