Vehicle Insurance Fraud Detection System

• Author(s):

  Pushpavalli P | Shamitha M | Aishwarya S | Shyleshwari M Shetty

• Keywords:

  Vehicle Insurance, Fraud Detection, SMOTE, Random Forest, Flask, Machine Learning.

• Abstract:

  Concern Over Insurance Fraud In The Machine Sedulity Is Growing, As It Can Affect In Significant Financial Losses And Advanced Decorations For Law- Abiding Policyholders. This Study Offers A Machine Knowledge- Predicated System For Further Directly Relating False Claims. To Address Class Imbalance, We Use A Kaggle Dataset And The SMOTE Fashion. With A Python Flask- Predicated Web Interface That Lets Stoners Enter Claim Details And Get Immediate Fraud Discovery Results, Our System Predicts Fraud Using Random Forest, Decision Tree, And Logistic Regression Models.

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Other Details

• Paper id:

  IJSARTV11I5103468

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-05

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