Cloud-Based Machine Learning Application for Scalable Process Optimization

This project aims to design, develop, and deploy a machine learning application on a cloud platform (e.g., AWS, Azure, or Google Cloud). The application will focus on optimizing a specific process by making it scalable, accessible, and efficient, allowing users to interact with the model through an API or web interface. Participants will learn cloud deployment, resource management, and automated model monitoring.