Feelchords – An Emotion Based Music Player

Abstract

The proposed music player system leverages the power of React, a popular JavaScript library for building user interfaces, to create a dynamic and responsive music player. The user interacts with the application through a chatbot interface, providing input in the form of text messages or voice commands. This input is then processed using a sentiment analysis algorithm, which analyzes the emotional sentiment behind the user's input. Based on the sentiment analysis results, the music player suggests personalized music recommendations aligned with the user's emotions. Positive emotions, such as happiness or excitement, trigger suggestions of uplifting and energetic tracks, while negative emotions, such as sadness or anger, prompt the system to propose soothing or calming melodies. To ensure a seamless experience, the system incorporates an auto play-pause functionality that adjusts the music playback based on the user's preferences or detected emotions. The music player facilitates audio playback, providing the selected tracks to the user. By merging sentiment analysis, intelligent music suggestion, and chatbot capabilities, this React-based music player creates an immersive and personalized environment for users, empowering them to explore and enjoy music that resonates with their emotions.