I’m currently working on building a machine learning model and integrating it with a website using Python Flask for deployment. I’ve successfully trained the model and processed the data into features and specific data types during training. However, I’m unsure how to handle real-time user input data during prediction. Could someone guide me on how to convert user input into the required features and data types for my model during deployment using Flask? Any insights or code examples would be greatly appreciated.
Thank you!”