Artificial Intelligence for On Demand Insurance Recommendation

This research explores ways to improve how insurance options are recommended by comparing different approaches to analyzing data. It identifies the best methods for handling situations where certain information is limited and improves the accuracy of predictions. The study creates a system pipeline that suggests tailored insurance policies based on individual needs. This work helps insurance companies provide better, more personalized services, making it easier for people to find options that suit them, while also building trust and satisfaction in the process.