Emotune: Emotion And Gender Aware Music Generation Chatbot

Abstract: This work introduces a comprehensive Emotion-based playlist recommendation systems have gained significant attention in recent years due to their ability to personalize music listening experiences. In this survey, we present a novel approach where playlist management is centralized and administered through a web-based interface by an admin, while users interact with the system via a dedicated Android app. The admin is empowered to curate playlists, update content, and oversee the playlist ecosystem through the website dashboard. Concurrently, users access the system through the Android app, which offers features such as emotion detection, playlist recommendations, and seamless music playback. By leveraging emotion recognition algorithms and user preferences, our system aims to deliver tailored music playlists that resonate with users' moods and preferences, enhancing their overall listening experience. This abstract highlight the dual functionality of our system, catering to both the administrative needs of playlist management and the user-centric features of emotion-based music recommendation.

Keywords: Music player, Chatbot, Emotion, Gender, Audio, Text.