Movie Recommendation App

Welcome to the Movie Recommendation App project repository! 🎬

Project Overview

In this project, we have developed a Movie Recommendation App that recommends movies based on the genre of a selected movie. Leveraging Python and Streamlit, this app provides an interactive interface for users to input movie IDs and view recommendations.

Key Features

• Genre-Based Recommendations: Utilize the genre information of movies to recommend similar movies to the user.
• Interactive Interface: Implement a user-friendly interface using Streamlit for inputting movie IDs and displaying recommendations.
• Background Image: Enhance the visual appeal of the app with a background image.
• Data Cleaning: Clean the movie dataset to ensure accurate recommendations.

How to Use

1. Clone the Repository: Clone this repository to your local machine using https://github.com/Raghavendra0827/Netfilx_Movie_Recommendation.git.
2. Install Dependencies: Install the required dependencies listed in requirements.txt using pip install -r requirements.txt.
3. Run the App: Execute the Streamlit web application by running streamlit run app.py in your terminal.
4. Input Movie ID: Enter a movie ID in the provided input field.
5. Get Recommendations: Click the "Submit" button to get recommendations based on the selected movie's genre.
6. Explore Recommendations: View the recommended movies displayed in the app interface and discover new movies to watch!

About the Author

This Movie Recommendation App is developed by Raghavendra KN, a passionate developer dedicated to creating innovative solutions using Python and machine learning.

Get in Touch

Feel free to connect with the author for any inquiries or feedback:

Acknowledgments

We extend our gratitude to the Python and Streamlit communities for their invaluable resources and support, enabling us to develop this Movie Recommendation App.

Deployed App

Check out the deployed Movie Recommendation App at: Movie Recommendation App