Insurance plays a vital role in covering most expenses of an Unexpected Incident. The problems faced while registering Insurance policies are finding an experienced insurance consultant, reviewing details of an Insurance provider’s policies, and choosing the suitable policy according to user needs. Considering these, the project is designed as a website that contains the digital portfolio of an experienced insurance consultant and two Artificial Intelligence (AI) Models, where one is a Policy Information Generator (Generator), which helps in finding out the currently available policies of an Insurance company and Policy Suggester (Suggester) which helps in suggesting the suitable policy. Digital portfolio is an initiative to increase the market of insurance consultants. The AI models are built under a Supervised learning algorithm where a generator is under linear classification, and Suggester is under multiple linear regression. The generator needs the Insurance company name as input and will display all the available policies with their details. The predictor needs some of the required information and will demonstrate the most suitable procedure of a provider. The portfolio webpage was precise, with complete information available. AI Models performed well while comparing the outputs with test data with an overall accuracy of 95%. Organizations like Policy Bazaar and Bajaj Capital usually take users’ data and predict the suitable policy after analysis. They will notify users about the policy information within a few hours. Here, Suggester indicates the appropriate policy within a few seconds. Generator is an all-in-one place to find out the available policies of any provider.