About

A sophisticated movie recommendation engine that combines machine learning with an interactive web interface to deliver personalized movie suggestions based on user preferences.

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Tech Stacks

Installation & Setup

1. Fork and Clone the repository:

   git clone https://github.com/shondsouza/Movie-recommendation-system.git
   cd Movie-recommendation-system

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Dataset setup:

   • Download the TMDB 5000 Movie Dataset from Kaggle
   • Place tmdb_5000_movies.csv and tmdb_5000_credits.csv in the data/ directory

5. Process the data:

   python src/preprocessing.py

Running the Application

1. Start the web server:

   python app.py

2. Access the web interface:

   • Open your browser and go to http://localhost:5000
   • Search for a movie and get personalized recommendations!

3. Alternatively, use the CLI:

   python src/recommender.py --movie "Movie Title"

Contributors