Digital Verification: An Efficient Fraud Document Detection for Insurance Claims using IoT and ML Approaches

In light of many reports generated in recent years, fraud insurance claims have caused havoc in the medical and insurance sectors. 100’s of crores of rupees are stolen by fraudsters who claim insurance money by showing fake certificates of hospital bills, medical invoices, prescription lists, etc. This practice can be stopped by checking the legitimacy of the certificate. With artificial intelligence evolving daily, using this technology to our advantage is the best thing to do. The solution to the fraud document detection problem can be found by implementing machine learning algorithms. The primary idea of the solution is that the algorithm will check for a few parameters on a certificate and then determine if the certificate is genuine. For the solution to be in the scope of usage by the public, an IoT element has been introduced. People appointed to check the authenticity of the submitted documents can conveniently scan the document, and the retrieved scanned copy can be uploaded to a database on our mobile application. After uploading, the application is built in a way that contacts the main server, substantiates the certificate, and features its accessibility to the user.