When faced with a large selection of music, it can be challenging for individuals to decide what to listen to. Fortunately, there are various recommendation systems that can help users find what they're looking for. With this music recommendation system we aim to provide users with options that match their preferences. By analyzing a user's facial expression and emotions, we can gain a better understanding of their current mental and emotional state. This information can be leveraged to offer music recommendations that are tailored to each individual's preferences.
Article Details
Unique Paper ID: 160178
Publication Volume & Issue: Volume 10, Issue 1
Page(s): 1308 - 1313
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