• Gundabathina Manasa
• Avuluri Nikhitha
• Bondugula Reshma
• Pooja singh
• Mr. Malige Gangappa

Many consumers believe it is quite difficult to compile a list from a lengthy tracklist. As a result, customers often opt to play the following music in a random mode or through suggestion. There are a wide range of scientific environments and procedures used in track remedy for health assistance. As a result, an effective personalised track guidance method has become important. With the use of generalised track treatment tactics and synthetic intelligence technology, an advise machine is focused on assisting people in making the best choices for their lifestyles and maintaining their mental and physical health. As a result, this research investigates a modern framework and offers cutting-edge track models. We used the algorithms for CF and model based on content because they work well in recommender systems. Due to the difficulty in finding a track related to contemporary feeling, two user-centric strategies—context- and emotion-based versions—were receiving more attention.

"Emotion based music recommendation system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.k694-k702, April-2023, Available :http://www.jetir.org/papers/JETIR2304A98.pdf

"Emotion based music recommendation system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppk694-k702, April-2023, Available at : http://www.jetir.org/papers/JETIR2304A98.pdf