• MD Irshad Hussain B
• Pramod Kumar K N
• Rakesh U B
• Sachinraj M R
• Tejas S Patil

Vehicle insurance fraud poses a significant challenge for insurance companies, resulting in substantial financial losses. To address this issue, this study proposes a machine learning-based approach for the detection of vehicle insurance fraud. By leveraging historical insurance claims data and employing various ML algorithms, this research aims to develop an effective fraud detection system. The study encompasses data preprocessing, feature selection, model training, and evaluation, with the ultimate goal of improving the accuracy and efficiency of fraud detection in the vehicle insurance domain.

Vehicle insurance fraud, machine learning, fraud detection, data preprocessing, feature selection, model training, evaluation.

"Vehicle insurance fraud Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.i577-i580, July-2023, Available :http://www.jetir.org/papers/JETIR2307882.pdf

"Vehicle insurance fraud Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppi577-i580, July-2023, Available at : http://www.jetir.org/papers/JETIR2307882.pdf