Vibescape: Real-Time Emotion-Based Music Recommendation Using Multimodal Analysis
Keywords:
Emotion-Based, Music Recommender System, Emotion Detection, Customized Playlists, Dynamic Experience, User-Friendly, Music Streaming, Popular Music PlatformsAbstract
Vibescape is a novel emotion-based music recommender system that aims to provide a personalised and immersive music streaming experience. This system employs cutting-edge emotion detection technology to analyse the user's emotions in real time and suggest songs that fit their current mood. Vibescape combines popular music platforms such as Spotify, SoundCloud and YouTube to allow users to stream music from their preferred sources seamlessly. The app also provides personalised playlists that match the user’s mood and listening habits. Vibescape’s intuitive and user-friendly interface customises the overall music streaming experience according to the emotional journey of the listener. Vibescape uses advanced algorithms to analyse emotional signals from facial expressions, voice, or text inputs to accurately identify moods. In addition to recommendations based on emotion, the system also adapts to long-term listening patterns, fine-tuning its recommendations to make a more personalised experience over time. Its integration with multiple music sources means the platform can provide a huge library of songs for different tastes and moods. Vibescape is a new way to link emotions and music, turning passive listening into an emotionally resonant and dynamic experience.
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