MovieMinds - Content based Movie Recommender System using Machine Learning

MovieMinds is a smart movie recommendation system built using machine learning techniques. It leverages user preferences, movie ratings, and other key features to suggest movies that match individual tastes. Whether you're looking for your next blockbuster or an underrated gem, MovieMinds has you covered.

Features

• Personalized movie recommendations based on user preferences.
• ML algorithms such as collaborative filtering and content-based filtering.
• Ability to suggest movies from various genres, actors, and directors.
• Easy-to-use interface for users to provide movie ratings.
• Scalable architecture to handle large movie datasets.

Technologies Used

• Python
• Scikit-learn
• Pandas
• NumPy
• Matplotlib (for data visualization)
• Flask/Django (for API/Frontend)
• TMDB-5000 Dataset

Installation

1. Clone the repository:

   git clone https://github.com/Debargha-Mitra-Roy/MovieMinds.git
   cd MovieMinds

2. Create a virtual environment (optional but recommended):

   python -m venv <YOUR_VIRTUAL_ENVIRONMENT_NAME>
   source <PATH_TO_YOUR_VIRTUAL_ENVIRONMENT>/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the application:

   python app.py

   Your movie recommender system will be available at http://127.0.0.1:5000/.

How It Works

1. Data Collection: Movie data is collected from sources like the MovieLens dataset or APIs like The Movie Database (TMDb).
2. Preprocessing: Data is cleaned, missing values are handled, and necessary feature extraction is performed (e.g., genre, cast, etc.).
3. Model Building: The system uses machine learning models like:
   • Collaborative filtering (User-based or Item-based).
   • Content-based filtering.
4. Recommendation: The model suggests a list of movies based on the user's input or movie history.

Usage

• Input your preferences, such as genre, favorite actors, or specific movies you’ve enjoyed.
• The system will recommend a list of movies that match your profile.
• You can also rate movies, and the system will update recommendations accordingly.

Example

Input:

• Preferred Genre: Comedy, Action
• Favorite Actor: Leonardo DiCaprio

Output:
A list of movie recommendations featuring Leonardo DiCaprio in the comedy and action genres.

Contributing

Contributions are welcome! If you have suggestions or improvements, feel free to fork this repository and submit a pull request.

1. Fork the repository.
2. Create a new branch for your changes.
3. Commit your changes.
4. Push to your fork and submit a pull request.

License

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

Contact

For any questions, feel free to reach out to developer.debarghamitraroy@gmail.com.

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Thanks for using MovieMinds! Happy movie watching! 🎬🍿