• Mrs.S.Sri Saye lakshmi
• K.Charulatha
• K.Mehala
• S.Shabana Banu

Music recommendation is vital today due to the overwhelming amount of available content. These systems offer personalized suggestions, saving time and enhancing user satisfaction. They promote music discovery, curate quality content, and foster community engagement, contributing to a richer and more enjoyable music listening experience. The paper introduces a novel approach to music recommendation systems by integrating handgesture recognition technology using the MobileNetarchitecture. Unlike traditional methods relying solely on user preferences and historical data, this approach utilizes MobileNet's efficient pixel data analysis for gesture recognition. The system's innovation lies in interpreting user hand gestures to discern desired music genres, benefiting individuals with facial disabilities or speech impairments by offering an intuitive alternative to conventional interaction methods. By incorporating gesture-based interaction, the system significantly improves accessibility and inclusivity, catering to a broader user base. This research contributes to human-computer interaction by demonstrating how MobileNet-powered gesture recognition can enhance music enjoyment through more inclusive and user-friendly interfaces. Overall, the proposed system represents a pioneering application of MobileNet in music recommendation, pushing the boundaries of accessibility and interaction design.

Transfer learning algorithm, Music recommendation, Human– computer interaction.

"MUSIC RECOMMENDATION SYSTEM USING HAND GESTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.349-354, March-2019, Available :http://www.jetir.org/papers/JETIR1903P41.pdf

"MUSIC RECOMMENDATION SYSTEM USING HAND GESTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp349-354, March-2019, Available at : http://www.jetir.org/papers/JETIR1903P41.pdf