The article provides a comprehensive tutorial on building a facial recognition system using Deepnote and Anvil, leveraging Python for both the backend logic and the interface design. Deepnote is highlighted as a cloud-based collaborative notebook platform that supports Python, R, and SQL, offering features like scheduling and integrations with various services. Anvil is depicted as a tool that allows developers to create applications without traditional web development skills, using a drag-and-drop editor and Python for customization. The tutorial guides users through setting up a facial recognition system that identifies individuals by comparing face encodings to a database, and includes steps for adding or removing residents from this database. It also covers the creation of an admin-friendly interface using Anvil, linking it to the notebook with Anvil's uplink feature, and testing the system. The article suggests that such a system can be developed without mastering complex frameworks and mentions the potential for optimizing Python builds with Earthly for efficiency.