Building a Food Recall Tracking App with Python, FastAPI, and MongoDB Part 0
Food recalls impact our lives a major ways. Starting with our health when we consume them the food before it's recalled, to our mental health when we lose trust in the systems we expect to protect us, and with the loss of jobs when factories or members of the supply chain close due to the impact the recalls have on their business. Tracking and understanding these recalls can be challenging. Tracking and understanding these recalls is important. This multipart tutorial series will guide you through creating a food recall tracking tool that leverages the FDA's food recall API. In this first part, we'll focus on building the backend API with Python, FastAPI, and MongoDB to pull and store data from the FDA API. Future installments will cover the frontend, built using Next.js, and additional features like machine learning and conversational interfaces.
Other Python API libraries, like Flask or Django REST Framework, are powerful but may require additional configuration for asynchronous support and automatic validation.
