Empowering Aspiring Artists: A Machine Learning-Powered Carnatic Music Tutor

Music exerts a captivating influence on people worldwide, inspiring many to master this art form, thus bringing joy and tranquility to global communities. The primary goal of this project is to streamline the learning process, making it more accessible and less intimidating for aspiring artists. It offers a comprehensive platform for those interested in Carnatic music, incorporating cutting-edge technology, such as deep neural networks for identifying Ragas, TensorFlow Spice for Precise Note Recognition, WhisperAI for extracting lyrics from audio recordings, and facilitating user performance comparisons with the original songs. This approach not only enhances learning efficiency but also deepens learners’ understanding of musical variations. Students can refine their skills and take pleasure in singing their preferred songs, fostering a vibrant musical community. The system has achieved an accuracy rate of 93.37% in note identification, 86% in Raga identification, and 95% in lyric identification.