Abstract:
Problem: The complexity in estimating motor insurance rates brought attention to the need for technologies that are both accessible to the general public and capable of properly predicting auto insurance rates. The main downsides of current systems include the fact that many of them predict insurance rates for different domains such as life and health insurance. There are currently no systems implemented that can predict vehicle insurance premiums.
Methodology: Vehicle insurance premium prediction system will be beneficial to a large number of people. This system uses a stack regressor model to predict the premium based on user-provided vehicle-related data. Through the online application, the user will be able to place and see policies as well as view the estimated premium.
