Whistle Blower: An Insurance Awareness Mobile Application with Insurance Policy Selection, Fraud Detection, Critical Help, Complaint Features

Insurance is a contract between a client and an in-surance company in which the insurer provides the policyholder with financial protection to reduce risk. The existing insurance assistance literature did not present any ICT-based digital system for searching for a suitable insurance policy and company while taking rating, company type, financial condition, premium, insurance growth rate, and policy type into consideration. Ex-isting literary works lack an automated insurance assistance system with features such as insurance lawyer search, insurance claim failure prediction, insurance tips, insurance company quality detection, time critical help posting, insurance complaint submission, and general insurance information accessibility. To resolve these issues, this paper yields an insurance awareness assistance mobile application that includes insurance claim fraud prediction, appropriate insurance policy and company search, contact with insurance companies, complaint submission, expert suggestion, company quality detection, insurance lawyer search, time critical help post, app rating submission, and insurance tip access features. The app qualification test results revealed that at least 60 % of clients dispatched the foremost quality remarks regarding the insurance app's feature suitability.