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Recommending Songs for the Right Occasion using Support Vector Machines and Flutter

Authors

Ruoxuan Dong1, Austin Amakye Ansah2 and Shuyu Wang3, 1China, 2The University of Texas, USA, 3California State Polytechnic University, USA

Abstract

Most people listen to music to regulate mood, achieve self-awareness, and for socialization [9]. 95.6 percent of Americans aged 13 and older listen to some form of audio in their lives. According to a study, people stop finding new music by age 30. Our solution, Vocodex, provides a way for people to find new music related to their mood through emotional state description. Our solution is built with Flutter, which provides the tools needed to build a cross-platform app for Android, Ios, and the web [10]. Our app classifies emotions of up to four different classes and uses that information to fetch songs from a database. Songs are then played with our in-app music player. The model trained to analyze text achieved up to 94% accuracy when retrained on a heavier dataset.

Keywords
Flutter, AI , Music, SVM