The guide provides a step-by-step process for beginners to create and deploy a machine learning model or app using Hugging Face Spaces, specifically focusing on setting up a Gradio-based fashion item classifier. It begins with creating a Hugging Face account, confirming the email, and navigating to the Spaces section to set up a new project. Users are instructed to install Git for version control, clone their Space to a local machine, and use Visual Studio Code for coding. The tutorial includes instructions for creating an `app.py` file, writing code to classify fashion items using a pre-trained model, managing dependencies with a `requirements.txt` file, and testing the app locally with Gradio. Finally, it guides users through committing and pushing their code to the Hugging Face Hub, making the app publicly accessible, and sharing the deployment with others, emphasizing community support for troubleshooting.