Movie Recommendation System

This is a movie recommendation system built with Streamlit. It recommends movies based on the selected movie and displays their posters using the TMDb API.

Features

• Select a movie from a dropdown list to get recommendations.
• Display posters of the recommended movies.

Installation

To install the necessary dependencies, clone this repository and run:

pip install -r requirements.txt

Running the App Locally

To run the app locally, use:

streamlit run app.py

Deployment

This app is deployed on Streamlit Cloud. Any changes pushed to this repository will automatically update the deployed app.

Usage

1. Select a movie you like from the dropdown menu.
2. Click on the "Recommend" button.
3. The app will display the recommended movies along with their posters.

Requirements

• Python 3.7 or higher
• Streamlit
• Pandas
• Scikit-learn
• Requests

TMDb API Configuration

To display movie posters, you need a TMDb API key. The key used in this project is:

API_KEY = 'e259b4560b93c106eb2e22eb5714d4a4'

Project Details

• This is a machine learning project that utilizes content-based filtering to recommend movies.
• Developed with: Streamlit

Credits

• Data: TMDb
• Developed with: Streamlit

License

This project is licensed under the MIT License. See the LICENSE file for details.