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Currently, we are researching vocal music recognition modules with the aim to recognize various types of music and timbres. This work is geared towards further enhancing the training of AI music education models. We are actively recruiting researchers in the field of sound recognition and data science. Priority will be given to those who have served as the first authors in top-tier conferences such as ICASSP and KDD. Currently, our team comprises over 15 research personnel and we invite you to join us! [Our Aspiration]: unleashing the symphony of the future: harnessing artificial intelligence and advanced technologies to delve into the heart of music, enhancing musical education with efficiency and quality, while providing access to the most advanced musical instruments. • In music-related research, we employ AI technologies such as machine learning to study music genre analysis. We've successfully applied advanced algorithms for anomaly detection and uncovered the deep influence of music on culture and society. In the future, we will consolidate more music-related knowledge to continue training our music models. • In terms of AI-based musical education, our team uses AI-based music education with guided mentorship. Our students, aged between U7 and U10, won multiple awards at the 2021-2023 International Youth Art Competition in Vienna, Austria. They have also excelled in the North China region's music competitions, garnering four first-place prizes and eleven second-place awards. • As for musical instrument sales, we are currently developing a service website, incorporating several AI-powered features such as NLP push notifications and AI chat assistant.