mohitrock850/E-Commerce-Recommendation-System ? reverse-engineered prompt

Build me a simple e commerce recommendation web app that lets someone type in a product name or description and get smart product suggestions back on the page.

I want a clean Flask backend with a lightweight HTML and JavaScript frontend, and the app should let the user choose between a few different recommendation styles, including keyword matching, semantic matching, entity based matching, and a rating prediction option. It should use the dataset in the repo, show useful results in real time, and also handle cases where the item is not found by telling the user clearly instead of breaking.

Please make the interface easy to use, with one main search box, a model selector, and results that are readable. If you need to, look up current docs online while wiring up the ML pieces. Also make sure the app can run locally from the main entry file with the dependencies listed here.