Face-flix

Face-flix is a facial recognition-based movie recommendation system. It utilizes facial recognition technology to analyze the user's facial features and emotions and recommends movies based on those factors.

Features

• Facial recognition: The system uses facial recognition algorithms to detect and analyze facial features, including emotions, expressions, and gender.
• Movie recommendation: Based on the user's facial analysis, Face-flix recommends movies that match their emotional state and preferences.
• Movie database: The system integrates with a comprehensive movie database to provide a wide range of movie options for users.

Installation

1. Clone the repository:

   git clone https://github.com/ParthJohri/Face-flix.git
   

2. Install the required dependencies:

   npm install
   

3. Set up the necessary environment variables. Refer to the .env.example file for the required variables and their descriptions.

4. Start the application:

   npm start
   

5. Access the application at http://localhost:3000 in your browser.

Technologies Used

• Front-end: HTML, CSS, JavaScript
• Back-end: Node.js, Express.js
• Facial recognition: Deep Face API
• Movie database integration: TMDb API

Contributors

Parth Johri                    Parth Gupta

License

This project is licensed under the MIT License.