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Is your feature request related to a problem? Please describe.
Yes, the current problem is that there is no existing system that recommends music based on real-time face emotions.
Describe the solution you'd like
I would like to have a face emotion-based music recommender system using Mediapipe and OpenCV. This system will analyze the user's facial expressions in real-time and recommend music based on their emotions.
Describe alternatives you've considered
One alternative could be using a manual selection of emotions by the user, but this would not provide the real-time and dynamic experience that a face emotion-based system can offer.
Approach to be followed (optional)
Use OpenCV and Mediapipe to detect and analyze facial expressions.
Map detected emotions to corresponding music genres or playlists.
Integrate with a music streaming service API for recommendations.
Additional context
This feature will provide a unique and engaging user experience, allowing users to discover music that aligns with their current emotional state. It can enhance the overall user satisfaction and retention for the music recommendation platform.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
Yes, the current problem is that there is no existing system that recommends music based on real-time face emotions.
Describe the solution you'd like
I would like to have a face emotion-based music recommender system using Mediapipe and OpenCV. This system will analyze the user's facial expressions in real-time and recommend music based on their emotions.
Describe alternatives you've considered
One alternative could be using a manual selection of emotions by the user, but this would not provide the real-time and dynamic experience that a face emotion-based system can offer.
Approach to be followed (optional)
Additional context
This feature will provide a unique and engaging user experience, allowing users to discover music that aligns with their current emotional state. It can enhance the overall user satisfaction and retention for the music recommendation platform.
The text was updated successfully, but these errors were encountered: