An end-to-end deep learning project using DVC(MLOps Tool for Pipeline Tracking & Implementation) and Mlflow(MLOps Tool for Experiment Tracking and Model Registration) - Kidney Disease Classification

The project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building model artifacts, web app development, docker, cloud PaaS) by integrating CI/CD pipelines with automated tests and releases.