The Mesa Predator-Prey Model is an open-source, Python-based implementation of the classic Lotka-Volterra predator-prey system, built atop the Mesa agent-based modeling framework. It simulates individual predator and prey agents moving and interacting on a grid where prey reproduce and predators hunt for food to survive. Users can configure initial populations, reproduction probabilities, energy consumption, and other environmental parameters through a web-based interface. The simulation provides real-time visualizations, including heatmaps and population curves, and logs data for post-run analysis. Researchers, educators, and students can extend the model by customizing agent behaviors, adding new species, or integrating complex ecological rules. The project is designed for ease of use, rapid prototyping, and educational demonstrations of emergent ecological dynamics.

Pollux is an innovative tool designed for Chrome users seeking to enhance their productivity. By leveraging advanced AI technology, specifically GPT, it allows users to quickly summarize or explain any selected text. This tool is particularly useful for students, researchers, and professionals who often deal with lengthy articles or complex documents. With Pollux, you can save time and improve comprehension by transforming dense information into easily digestible summaries.

ArXiv Insight is an AI-powered Chrome extension designed to summarize complex ArXiv papers instantly. With just one click, the extension delivers key insights such as the paper's main motivation, contributions, results, and conclusions. This tool is perfect for researchers, students, and science enthusiasts, enabling them to quickly grasp the essential information of a paper without spending hours reading through it. ArXiv Insight streamlines the research process by distilling lengthy and complex papers into clear, concise summaries, helping users save time and stay informed.