Published Paper Details:

Music is an integral part of our lives. In this era of technological advances, appropriate music recommendations are much needed as soothing music according to moods helps humans to relieve stress. The objective of this project is to develop a personalized system, where the user's current emotion is analyzed with the help of a bot. The bot will interact with user to identify the mood. By analyzing the tone of the text and speech used by the user, mood can be identified. Once the mood is identified, the application will recommend music based on the user's mood. The project utilizes the Rasa framework for chatbot interaction, allowing the user to have a more natural and interactive experience. The deep speech recognition layers are used for recognition of emotions through speech. The model is going to use a Natural Language Processing (NLP) Algorithm for textual analysis and Convolutional Neural Network (CNN) along with spectrogram analysis to predict the mood based on the tone of the user. To recommend music based on the emotions Last.FM API will be used.