wtf is fiap-ifood-challenge?

This repository, fiap-ifood-challenge, was created for a partnership between FIAP (a Brazilian education institution) and iFood (a major food delivery platform in Brazil). It appears to be a solution developed for an academic or training challenge, likely focused on a real-world problem that a food delivery company might face, such as analyzing customer behavior or predicting food orders. The README itself does not provide any details about what the project actually accomplishes, so its exact purpose can only be inferred from the context of the challenge. Since the project is written in Python, it is built using code that typically supports data analysis, machine learning, or backend application development. Common tasks for this kind of challenge involve cleaning and sorting through customer order data, building predictive models to guess what users might order next, or creating algorithms to improve delivery logistics. Without any documentation to explain the mechanics, it is difficult to say exactly how the code is structured or what specific techniques it uses to process the data. This type of project would typically be used by data science students, instructors, or technical recruiters looking to evaluate coding skills and problem-solving abilities. For example, a hiring manager at a food delivery company might use this challenge to see how well a candidate can analyze a large dataset and write code that leads to actionable business insights, like identifying which restaurants are likely to be most popular on a given weekend. The most notable aspect of this repository is the complete absence of a README file, which means there is no guidance on how to install, run, or understand the code. Anyone looking to use this project would need to explore the Python files directly to figure out what they do. This is a common tradeoff in hackathon or academic challenge submissions, where developers focus entirely on solving the problem and leave documentation for a later time that often never arrives.