Priyatham Kittu developed a Flask-based machine learning model deployment demo for the daytonaio/daytona repository, focusing on end-to-end model serving within a production-like Flask application. Using Python and leveraging Flask’s routing and request handling, Priyatham created a reusable template that demonstrates how to deploy and interact with machine learning models in a web environment. The work included organizing sample code and documentation to clarify deployment workflows, making it easier for data scientists and developers to onboard and experiment. This contribution established a foundation for future enhancements and provided a practical reference for ML deployment patterns in Python-based projects.