Movies Recommendation System

by - Vishal Kamath

A fun hobby project that use python Sklearn library to create a movie recommendation system, it uses FastAPI to create a recommedation Api for the recommendation system. It uses Next js for the movie recommedation website that use the api to recommed movies.

Datasets

• tmdb_5000_movies.csv
• tmdb_5000_credits.csv

datasets link - https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata

Steps to execute the program

• open recommedation API folder in jupyter notebook

  jupyter notebook

• execute movie recommedation model.ipynb to generate the model

• execute movie recommendation api.ipynb to start the api server

• open movie-recommendation-system folder

• start the next app

  npm run dev

Final Results