Effective training in respiratory assessment and diagnosis is critical for physiotherapy students. Digital tools like chatbots offer interactive and personalized learning experiences, fostering clinical reasoning in safe and controlled environments. Objective: To develop and validate an AI-powered chatbot designed to simulate clinical scenarios, enabling students to practice respiratory assessment and diagnosis. Methods: The study will follow a four-phase process: Conceptualization, Identify reporting standards, chatbot development, pilot testing and validation, implementation and refinement, and finally dissemination and updates. Expected Outcomes: The chatbot is anticipated to enhance clinical reasoning, improve diagnostic accuracy, and increase student engagement in learning respiratory assessment. This project aims to establish a scalable model for integrating AI into physiotherapy education.