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AI-powered music recommendation system that detects user emotions through facial expressions and suggests mood-based music. πŸš€πŸŽ΅

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MusikAI

MusikAI is an AI-powered music recommendation system that detects a user's mood through facial expressions and suggests music accordingly. The system leverages deep learning models to analyze facial expressions and map them to emotional states, which are then used to recommend suitable music tracks.

Features

  • Facial Emotion Detection: Uses a neural network to classify emotions from facial expressions.
  • Music Recommendation: Suggests songs based on the detected mood using predefined mood profiles.
  • User Preferences: Customizable mood-based recommendations tailored to individual users.
  • Deep Learning Integration: Implements a VGG-based neural network for emotion recognition.
  • Logging and Debugging: Generates logs for monitoring application performance and debugging issues.

Installation

  1. Clone the repository:
    git clone https://github.com/yourusername/musikAI.git
    cd musikAI
  2. Install dependencies:
    pip install -r requirements.txt

Usage

Run the main application script:

python src/musikai_app.py

Contributors

  • Mohammad Naim D. Mariga
  • Edgar Jr B. Villas

License

This project is open-source. Feel free to modify and improve!


For any inquiries or improvements, open an issue or submit a pull request on GitHub!

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AI-powered music recommendation system that detects user emotions through facial expressions and suggests mood-based music. πŸš€πŸŽ΅

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