A web based movie recommender system using content-based filtering. It recommends top 5 movies to the user on the basis of similarity which is calculated using cosine similarity.
Dataset Used : https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata
Technologies Used
- Model - Machine learning libraries like Numpy, Pandas, Nltk, Sklearn
- UI - Streamlit open-source app framework for Machine Learning and Data Science teams.
Screenshots
