video1.0<iframe src="https://www.loom.com/embed/37b98ab8495d4aa69f0e48e0fe90adba" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/37b98ab8495d4aa69f0e48e0fe90adba-32c12c048f29413a.gif555.829In this video, I present GrabInsurance, a contextual embedded micro-insurance recommendation engine designed to offer relevant insurance products at the moment a user redeems a deal. The system features a React storefront UI, a fast API backend, and a SQLite analytics database, all working together to provide personalized insurance recommendations based on user intent. I demonstrate how the system adapts to different purchase contexts and discuss the A-B testing implemented to optimize conversion rates. Additionally, I showcase the real-time analytics dashboard that tracks user interactions and conversion metrics. I encourage you to check out the GitHub link I’ll provide to explore the code and see how to run the project yourself.