Building Med-Map: Spatial Optimization for Healthcare Access

For a recent academic project at CY Tech, my team and I built Med-Map, an application designed to address a real-world issue: optimizing the location of medical centers in areas with limited access to healthcare.

My main responsibility was the backend development. I wrote the application in Java, implementing spatial partitioning algorithms like Voronoi tessellations and Delaunay triangulations to calculate the best placements based on geographical data. On the database and frontend side, I worked with my team to map these backend calculations into a clean user interface using SQLite.

I really enjoyed this project because it allowed me to apply theoretical computer science concepts to a concrete social problem. It was also a great exercise in working as a team, managing our codebase with Git, and delivering a working prototype on time.

Technologies used: Java, Python, SQLite, Git.