INSTRUMETA

Authors

  • Kotha Akanksha, Mardhi Meghana, Tintrinipuram Navyasree B. Tech Students, Department Of Cse, Bhoj Reddy Engineering College For Women, India. Author

Abstract

The AI-Based Instrument Recognition and Music Metadata System identifies musical instruments in audio tracks and links them with relevant metadata using Machine learning and integrated APIs. In addition to audio analysis, the system now offers virtual learning modules for piano, guitar, and drums, along with curated learning notes. Users can engage in interactive music quizzes to test their knowledge and improve musical literacy. A chatbot feature facilitates real-time communication between users and admins, enhancing support and user experience. The platform combines AI-powered backend processing with an intuitive frontend and efficient database management. It caters to music learners, enthusiasts, researchers, and industry professionals, promoting rich content exploration and interactive learning.

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Published

2025-04-29

Issue

Section

Articles

How to Cite

INSTRUMETA. (2025). International Journal of Engineering and Science Research, 15(2s), 1519-1527. https://www.ijesr.org/index.php/ijesr/article/view/544