Abstract: The human face is a significant organ for conveying a person's mood. However, making a recommendation playlist based on the current mood by detecting the users face expression can be a work intensive and effective thing. This research is focused on detecting the facial expression using a music application and recommending songs according to that mood. Emojis is also included so that the user can choose emojis to covey their current mood. Emojis may include happy, sad, angry and neutral. Datasets of facial expressions as well as the songs can be taken for this research. The goal of this study is to identify the users mood by two methods there by giving them a better playlist of music. This study would give more accurate result compared to the previous works.
Keywords: facial expression detection, feature set, data set, music recommendation
Dr. TEGIL J JOHN, AYANA.N, VARSHA.P, ARCHANA.K" Recommendation of Music From Users Mood Using Machine Learning Model ", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 9, pp. 80-83, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.12912
| DOI: 10.17148/IJARCCE.2023.12912