Turning Research Papers into Executable Code

This is a submission for the GitHub Copilot CLI Challenge What I Built I built MathPilot, a command-line tool designed to transform complex research papers into runnable code. As someone coming from a machine learning background, I know firsthand how intimidating it can be to implement algorithms directly from papers. Understanding the logic is one thing, but translating it into code that actually runs is often a barrier for students and researchers alike. MathPilot aims to bridge that gap. It reads a research paper, helps scaffold the algorithm, and generates executable code that you can run immediately. For future iterations, I plan to integrate functionality that pushes the code directly to Google Colab, allowing resource-intensive algorithms to run on the cloud seamlessly. This means that even very complex ML models can be tested and iterated without worrying about local compute limitations. Demo Demo video Project Link My Experience with GitHub Copilot CLI GitHub Copilot CLI was a