MoodTunes

MoodTunes is a web application that suggests songs based on the current mood of the user. By analyzing facial expressions using deep learning, the application detects the user's emotion and provides personalized song recommendations. The application is built using React.js, Flask, and a Convolutional Neural Network (CNN) model.

Key Features

• Emotion Detection: Analyze the user's facial expression to determine their current mood.
• Song Suggestions: Generate personalized song recommendations based on the detected emotion.
• Webcam or Image Upload: Allow users to capture an image using their webcam or upload a photo for analysis.
• Real-time Feedback: Display real-time emotion detection results on the user interface.
• Responsive Design: A user-friendly and responsive design that works across different devices.

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Installation

To run MoodTunes locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/your-username/your-repo.git

2. Navigate to the project directory:

   cd your-repo

3. Install the required dependencies for the front-end

   npm install

4. Install the required dependencies for the back-end

   pip install -r requirements.txt

5. Start the React development server

   npm start

6. Start the Flask server

   flask run

7. Open your web browser and visit http://localhost:3000 to access MoodTunes.

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Contributing

We welcome contributions from the community to improve and enhance this pneumonia classification project. If you have any ideas, bug fixes, or feature suggestions, please feel free to submit a pull request. Together, we can make a positive impact in the field of medical diagnostics.

License

This project is licensed under the MIT License.

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We hope you find the Application useful and look forward to your contributions. If you have any questions or need assistance, please reach out to us. Happy coding!

Made with ❤️ by Gimnath Perera