Yoda Response: I have experience with Flask, which I used for the backend of an emotional classification project. I integrated facial, audio, and textual sentiment analysis into a single backend. The server was hosted using Flask, allowing seamless interaction between the frontend and the machine learning models. This experience taught me how to manage and deploy web applications efficiently, leveraging Flask's capabilities to create robust and scalable backends..