• K.V. Srilakshmi Asharani
• Dr. M.V.R. Jyothisree
• Harini Anand Cherkuri
• Koottala Navya
• Bathula Rishishwar Goud

This paper presents an innovative AI-powered platform designed to evaluate knowledge in Indian classical music, seamlessly integrating modern technology with traditional musical pedagogy. The system supports both Carnatic and Hindustani styles and utilizes OpenAI’s GPT for intelligent question generation and contextual evaluation, along with Whisper for real-time audio transcription. It accommodates a range of input formats, including text, image, audio, and live singing, thereby enabling comprehensive and multimodal assessment. Unlike conventional systems that rely on static datasets, this platform dynamically interprets and evaluates user responses using generative AI models. Developed using Java-based web technologies, the platform offers a scalable, interactive, and culturally grounded solution for enhancing music education in the digital era.

Indian Classical Music, Carnatic, Hindustani, GPT, Whisper, Generative AI, Music Education, Java Web Application

"Indian Music Knowledge Evaluation using Generative AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.396-402, May-2025, Available :http://www.jetir.org/papers/JETIRGV06058.pdf

"Indian Music Knowledge Evaluation using Generative AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp396-402, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06058.pdf