保险公司赔付保险金预测器的设计与开发

Ankita Jadhav, M. Kulkarni, Pranav Abute, P. Rajarapollu
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摘要

在这场新冠肺炎大流行疫情中,全世界都深受其害。无论发生什么问题,都是非常不确定和出乎意料的。在一个人的生命周期中,人们总是希望在各个方面都安全,都有一个安全的生活方式。面对突发、意外情况,保险是解决方案之一。如今,由于社会意识的提高,人们更倾向于从各种公司购买医疗保险。正如我们所知,有几家公司在确保各种疾病、气候灾害、人为和自然紧急情况。保险金将在道德上和经济上支持人类。保险公司在给客户赔款/理赔方面有自己的规章制度。有些隐藏的算计是普通人永远无法企及的。准确的保险计算和理赔日益成为社会面临的一项挑战。在本文中,使用机器学习算法开发了一个系统,用于准确的索赔计算。已实施的系统将根据您想要投保的家庭成员数量、家庭总收入、预期保险金额、家庭成员年龄等各种参数,帮助客户申请每月或每季度的保费。为了使这个过程更方便快捷,我们开发了一个网站。在对客户进行适当的识别和核实后,索赔将得到确认。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design & Development of Insurance Money Predictor to Claim with Insurance Company
In this pandemic situation of Covid-19, the whole world had suffered a lot. Whatever issues occurred is very uncertain and unexpected. In the life cycle of a human being, it is always desirable to be safe and have a secure lifestyle in every aspect. To face sudden, unexpected situation insurance is one of the solutions. Nowadays due to increasing awareness among the society people are more inclined towards taking medical insurance from various companies. As we know there are several companies in ensuring the various diseases, climatic hazards, man-made and natural emergencies. Insurance money is going to support the human in morally and financially. The insurance companies are having their own rules and regulations for giving money/claims to a client. Some hidden calculations are always out of reach to the common man. Day by day accurate insurance calculation and claim for money become a challenging task for society. In this paper, a system has been developed using a machine learning algorithm for accurate claim calculation. Implemented system will help the client to claim monthly or quarterly premiums based on various parameters like the number of family members you want to insure, the total income of the family, the expected amount of insurance, age group of family members, etc. To make the process more user-friendly and fast, we have developed a website. The claim will be confirmed after the proper identification and verification of the client.
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