Seller can sell more products if he understands what the user wants. We created a User Search for a product on the website of the vendor. Sometimes the user is not clear what he wants. Sellers can recommend a product in which the user is interested in or what the User wants to buy. One of the methods to do this is to suggest a User product similar to what he is seeing right now. That will help users find products easily and it will help sellers to sell more of their product.

The technology involved in it consists of Tensorflow 2.5, Scikit-learn, numpy, scipy, and Python. The initial project was proposed in older versions. It is now updated as and when the new versions get launched.