About This Project
Overview
Built an interactive, parallelized ecosystem simulation using Python (backend) and TypeScript (frontend). Integrated real-time visualization, PDF report generation with dynamic graphs, and AI-powered summary using Gemini API.
Motivation
Every project starts with a problem worth solving. For Predator-Prey Simulation, the motivation came from wanting to streamline workflows and create something that genuinely helps users save time. The goal was to build a solution that is not just functional, but delightful to use.
Lessons Learned
Building Predator-Prey Simulation taught me valuable lessons about system design, user experience, and the importance of iterative development. Each challenge became an opportunity to grow as a developer and problem solver.