CineMatch-Engine is a robust movie recommendation system developed to enhance user experience by predicting movie preferences. The project is based on content-based filtering methods to deliver accurate and personalized recommendations.

Content-Based Filtering leveraging movie metadata.

Python

Scikit-learn

TensorFlow

Pandas, Numpy

MovieLens Dataset

To set up the project locally, follow these steps:

Clone the repository:

Navigate to the project directory:

Install the required dependencies:

To use the recommendation engine, follow these instructions:

Achieved an RMSE of 0.87 on the MovieLens dataset.

High precision in top-10 movie recommendations.

We welcome contributions! Please fork the repository and submit a pull request with your changes.

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