• Nipun Sharma
• Swati Sharma

Music Recommendation Systems (MRS) for Guitar Learning have gained traction and popularity during pandemic times and aids in both self-learning and remote learning. The research area gained immense importance because of the changed learning and instructing paradigm during Covid-19 pandemic. Moreover, guitar is one of the toughest instruments to play and growing number of guitar learners, makes system design for guitar learning a very targeted and viable research area. This paper covers development of music recommendation system for guitar learning and guitar playing. The state-of-the-art development shows that many facets of guitar playing and learning are being explored for creating recommender systems and interactive systems. This knowledge makes the guitar playing more flavourful and effortless for users and will aid in developing machine learning based interactive recommender systems for developers.

Interactive Systems, Music Recommendation System, Guitar-learning, Machine-learning, Triad-chords.

"A Systematic Review of Machine Learning state of the art in Guitar Playing and Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.e427-e433, September-2022, Available :http://www.jetir.org/papers/JETIR2209448.pdf

"A Systematic Review of Machine Learning state of the art in Guitar Playing and Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppe427-e433, September-2022, Available at : http://www.jetir.org/papers/JETIR2209448.pdf