MusicBud: A Music Recommendation System Based on Deep Learning algorithms
Marius Andrei Negreț, Paul Ștefan Popescu, Mihai Lucian Mocanu, Marian Cristian Mihăescu · 2022
designed using a specific architecture to have clients on both web and mobile devices.So, there is a server-side module that computes sentiments and recommends music, and two clients take images and play the received music.In order to achieve the desired results, the system uses deep learning techniques for sentiment analysis and then a match between the computed sentiment and a list of songs that is proper for it.The system is also complemented with a feedback system which can be further used for improving the sentiment analysis module.It uses two signs: one thumbs up icon for validating the emotion and one thumb down icon for a wrong detected emotion.