Raag Sense is a Deep Learning and NLP-based system designed to identify the raga of a given Indian Classical Music (ICM) audio clip. Leveraging Mel-spectrograms, CNN architectures, and a curated dataset, the model classifies audio into 41 distinct ragas. The project was completed as part of the M.Sc. Big Data Analytics curriculum at Ramakrishna Mission Vivekananda Educational and Research Institute.
Achieved an accuracy of 96.82%.
This repository contains the report, slides, and jupyter notebook and related code files for the final course project of the Deep Learning and Natural Language Processing offered at
Ramakrishna Mission Vivekananda Educational and Research Institute, Belur as a part of the Master of Science in Big Data Analytics program.
- Python 3.12
This project was done by the team "BSB64 ", whose team members are:
-- BSB64
April 28, 2025