Smart LIC Recommendation System

Choosing the right insurance policy can often feel confusing because of the wide variety of plans and complex terms involved. Many people end up picking policies that don’t fully match their needs, leading to either unnecessary expenses or inadequate coverage. The LIC Policy Recommender System aims to solve this problem by giving users personalized recommendations based on their details like age, investment budget, policy duration, smoker status, and health requirements. The system uses a simple machine learning model, stores customer information securely, and presents the results through an easy-to-use interface. It also allows users to see direct links to official policy pages and compare estimated premiums visually. This makes the decision-making process faster, more reliable, and less dependent on agents or manual research.