Kunal0774/Recommendation-system-project ? reverse-engineered prompt

Build me a simple Python recommendation system project that takes user behavior data and suggests similar items to each user.

I already have the data files for items and ratings, so use those to clean the data, do a little exploratory analysis, build a user item matrix, and use similarity based recommendations to generate personalized results. I also want it exposed through a small Flask app as a REST API, so someone can send a request and get back recommended items in JSON.

Please make it easy to run locally, keep the code clear and well organized, and include sensible defaults so it works out of the box with the provided data. If you need to check current library docs or best practices, feel free to look them up online. I’d also like a simple way to test the recommendations from the API and a few example requests so I can see it working right away.