What is projectlearn-project-based-learning?

ProjectLearn is a website and GitHub repository that collects links to project-based tutorials. The premise is that learning to code by building real things, rather than reading theory in isolation, tends to produce better results. Each entry in the list points to an external tutorial where you follow along and build a complete application from scratch. The tutorials are organized into broad categories: web development, mobile app development, game development, machine learning, deep learning, and artificial intelligence. Within web development alone the list covers a wide range of technologies, including React, Next.js, Vue, Node.js, Python with Django, and more. Mobile tutorials include Flutter and React Native projects. The game development section links to Unity and other engine-based guides. The machine learning entries use tools like TensorFlow, OpenCV, and Keras. A companion website at projectlearn.io organizes all the same tutorials in a more browsable format with filtering and search. The GitHub repository is the source of truth and accepts community contributions: anyone can submit a new tutorial link by following the instructions in the CONTRIBUTE.md file. The list spans a wide range of skill levels. Some tutorials are quick beginner projects, like building a card component with CSS or a weather app in JavaScript. Others are full-stack clones of well-known apps, including Reddit, Facebook, YouTube, and Google Drive, built with modern frameworks. There are also AI-flavored projects using the OpenAI API, such as a chatbot and an image generator. There is no code to install or run here. It is a curated list, not a library. The value is in the organization: someone has collected and grouped a large number of tutorials that are otherwise scattered across YouTube, personal blogs, and course platforms. The full README is longer than what was shown.