Web application that recommends for search-basedMusic Player

Abstract

Human nature plays a significant role in extracting an individual's emotional state. It helps in determining their liking,
disliking, extracting, and understanding the emotions that an individual has based on various features such as search
history, and recommendations that were played by them randomly. A survey affirmed that the masses use Music to
express something within them. They often co-relate to a particular part of music according to their taste. Considering
these actions and how music pulsates a part of the human mind and body, my project will deal with extracting the user’s
search history to determine his liking of music based on which we are going to recommend more songs to them. A
playlist of songs relatable to the previous search of the user will be displayed to the user. This can be aided to alleviate
the mood of the user to some other songs sometimes and can also get song quickly according to their liking, saving time
from looking up different songs and parallel creating software that can be used anywhere with the help of providing the
functionality of music going according to the user nature..