ntroducing our cutting-edge Movie Recommendation System, an AI-powered platform that leverages advanced algorithms to analyze your viewing preferences, providing you with a curated list of films perfectly tailored to your unique tastes, ensuring every movie night is an unforgettable cinematic experience!
- Use TmDb dataset available in kaggle
- After Implementing the recommender system in jupyter notebook , create a virtual environment by typing python -m venv moviesenv. 3.Then activate it by running this command .\moviesenv\Scripts\activate on the terminal.
- Use the Api key fetched from the TmDb website and run the flask by running python app.py command , now open the localhost link provided in the terminal