Movie Recommender System

This project is a Movie Recommender System developed using Streamlit, Python, and The Movie Database (OMDb) API. It recommends movies based on similarity scores between movies.

Prerequisites

• Python 3.x
• Streamlit
• Pandas
• Requests

Features

• Recommendation:Enter the name of a movie, and the system recommends five similar movies.
• Movie Details: Click on a recommended movie to view its details, including the movie poster.
• User Interface: The application provides an interactive and user-friendly interface to explore movie recommendations.

Data

• The system uses a precomputed similarity matrix and use to generate recommend pickle file (recommend.pkl).
• Movie details are fetched from 'movies.csv', which contains information about movies from a kaggle dataset.

Usage

1. Select a movie from the dropdown list.
2. Click the "Recommend" button to get recommendations.
3. View recommended movies with their titles and posters.

Acknowledgments

• The Movie Database (OMDb) API is used to fetch movie details and posters.
• The recommend file is precomputed and stored in a compressed pickle file.

Author

• Imamul Hasan