This project explored how mathematical principles, specifically geometry and metrics of compactness, can be used to detect and analyze gerrymandering in electoral district maps. Using tools from graph theory, computational geometry, and data visualization, I evaluated real-world congressional district maps for signs of partisan bias and manipulated boundaries.

This project emphasized the intersection of mathematics, politics, and ethics, showing how analytical tools can support efforts toward more equitable democratic systems.