In this era of technological advances, text-based music recommendations are much needed as they will help humans
relieve stress with soothing music according to their moods. In this project, we have implemented a chatbot that recommends
music based on the user's text tone. By analyzing the tone of the text expressed by the user, we can identify the mood. Once the
mood is identified, the application will play songs in the form of a web page based on the user's choice as well as his current
mood. In our proposed system, themain goal is to reliably determine a user's mood based on their text tone with an application
that can be installed on the user's desktop. In today's world, human computer interaction (HCI) plays a crucial role, and the
most popular concept in HCI is recognition of emotion from text. As part of this process, the frontal view of the user's text is
used to determine the mood.
