Document Type
Honors Thesis
Abstract
Insurance is a major service provided to consumers that provides some relief concerning their valuable assets in the modern world. With so many valuable objects on the market, insurance claims are at an all-time peak, and with this comes attention, both wanted and unwanted. Insurance Fraud Detection is a sophisticated web application integrated with various modules that help insurance agents determine whether a claim by a client is fraudulent or not. Insurance agents can utilize this application to web scrape the internet for clues about the item in question to determine if it is still in the original owner's possession. The application then evaluates the evidence of the case. It compares the features with the clues found via the internet to solidify the search and help the agent decide if the claim is fraudulent.
Publication Date
5-2022
Language
English
Faculty Mentor of Honors Project
Christopher McMurrough
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Rana, Nischal, "INSURANCE FRAUD DETECTION, SENIOR DESIGN ENHANCED PROJECT" (2022). 2022 Spring Honors Capstone Projects. 16.
https://mavmatrix.uta.edu/honors_spring2022/16