Movie Recommendation System with Streamlit GUI

Welcome to the Movie Recommendation System with a Streamlit GUI! This project leverages machine learning to provide movie recommendations based on user input. Whether you're a film enthusiast looking for your next watch or building a recommendation system, this repository has you covered.

Features

• Personalized Movie Recommendations: Simply input a movie name, and the system will return a list of five movies that are highly similar to your selection.

• Streamlit GUI: The user interface is built using Streamlit, providing an interactive and user-friendly experience.

• Machine Learning-Powered: The recommendation system is backed by machine learning algorithms, making it more accurate and insightful.

Getting Started

To get started with the Movie Recommendation System with Streamlit GUI, follow these steps:

1. Clone the repository:

   cd movie-recommendation-system
   git clone https://github.com/syednoor058/movie-suggestion-system.git
   

2. Download the dataset:

    https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata
   
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run the Streamlit GUI:

   streamlit run ./site_by_streamlit/app.py
   

5. **Input a Movie:

• Open the Streamlit interface in your web browser.
• Input a movie name and receive personalized movie recommendations.