Facial emotion recognition-based music recommendation system

Abstract

Face recognition technology has gotten a lot of press because of its wide range of applications and market possibilities. It is used in a variety of fields, including security systems, digital video processing, and other technical advancements. Additionally, music is a form of art that is believed to have a stronger emotional connection It has a special power to improve one's mood. This research focuses on developing an effective music recommendation system that employs Facial Recognition algorithms to assess the user's sentiment. The constructed algorithm would prove to be more effective than previous systems. Furthermore, on a wider scale, this would allow for the recovery of time and labour spent physically performing the process. The system's overall goal is to recognise facial emotion and quickly recommend tunes. Both time and money will be saved with the proposed system.