• Harish
• Himanth S J
• Kalyan Venkatesh K J
• Amogh C
• Shabana Sultana

The global insurance industry comprises a vast number of companies, exceeding a thousand in number. Currently, the industry is actively adopting an efficient fraud management system. We propose a solution for the insurance organizations where the insurance company agents can track the predicted fraud percentages of the claims made.The insurance agent has the provision to fill up the form with the details related to the claim. The pre-trained machine learning model utilizes the form data as input to determine the authenticity of the claim, predicting whether it is fraudulent or legitimate. A two way classification of the claim is brought about by the model as to whether the claim is a fraud or a not fraud. The insurance companies can use the output to assist them in deciding whether the claim is fraud or not. The machine learning model is structured on the Decision Tree algorithm

Machine Learning; Decision Tree Algorithm; Insurance fraud detection

"Detecting Motor Insurance Fraud Through Machine Learning Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.g148-g153, September-2023, Available :http://www.jetir.org/papers/JETIR2309636.pdf

"Detecting Motor Insurance Fraud Through Machine Learning Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppg148-g153, September-2023, Available at : http://www.jetir.org/papers/JETIR2309636.pdf