• SINGAMSETTY BHARGAVI
• AKULA YAMUNA BHARGAVI
• DOKI LIKITHA
• MOGALI MADHU BABU
• SEEPANA RATNA KUMARI

A user’s emotion can be detected by his/her facial expressions. These expressions can be derived from the live feed via the system’s camera. A lot of research is being conducted in the field of Computer Vision and Deep Learning (DL), where machines are trained to identify various human emotions. Deep Learning provides various techniques through which human emotions can be detected. One such technique is to use CNN model with Keras, which generates a small size trained model and makes Android-ML integration easier. Music is a great connector. It unites us across markets, ages, backgrounds, languages, preferences, political leanings and income levels. Music players and other streaming apps have a high demand as these apps can be used anytime, anywhere and can be combined with daily activities, travelling, sports, etc. With the rapid development of mobile networks and digital multimedia technologies, digital music has become the mainstream consumer content sought by many young people.

Music recommendation, emotions based, facial expression recognition, Mood

"MUSIC RECOMMENDATION SYSTEM BASED ON EMOTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.f117-f122, May-2024, Available :http://www.jetir.org/papers/JETIR2405512.pdf

"MUSIC RECOMMENDATION SYSTEM BASED ON EMOTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppf117-f122, May-2024, Available at : http://www.jetir.org/papers/JETIR2405512.pdf