Recommendation system is a NLP-based Machine learning project used to predict customer’s interest and items they might like.

This is based on a lot of things like customer’s purchase history, purchased item’s categories, search or viewed items categories, item-item similarities, user-user similarities, CONTENT-BASED et cetera.

This system has solved a lot problems and it’s been used widely by big sites like Amazon, Ebay, Facebook, Youtube, Netflix E.T.C

There are different types of reccomender systems and each of them serve different purpose best.

Check my github for source code. I might deploy it later, if I find anyone to develop the frontend part.