This document discusses using AI to appreciate Indian music by developing machine learning models that can analyze Indian music. It presents solutions that use chromagram, spectrogram, and Mel Frequency Cepstrum approaches to process music datasets in order to recognize musical patterns. The models are trained using transfer learning and evaluated. The system is containerized using Docker and deployed on Google Kubernetes Engine clusters that can be managed through the Google Cloud Platform console. A web application built with Django allows users to upload music files and see analysis results.