Tunes of Mood is a project that leverages hand gestures and facial expressions to detect the user's mood. The goal is to create a unique and interactive experience where the user's emotions can be translated into recommended songs. The project utilizes a combination of Keras, OpenCV, NumPy, Mediapipe, and Streamlit to achieve mood detection and song recommendations.
- Mood detection through hand gestures and facial expressions.
- Recommendation of songs based on the detected mood.
- User-friendly interface powered by Streamlit.
- Keras
- OpenCV
- NumPy
- Mediapipe
- Streamlit
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Clone the repository:
git clone https://github.com/Deepa1172/Tunes-of-Mood.git
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Run the Streamlit app:
streamlit run app.py
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Interact with the app to experience mood detection and song recommendations.
If you'd like to contribute to Tunes of Mood, please follow our Contribution Guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.