A multiplayer web game where a seeker and hider compete on a 30x30 grid. The seeker, moving faster, tries to tag the hider while limited to seeing only nearby squares—except every 10 seconds when the full grid is revealed. Built with a Svelte frontend and Python backend using WebSockets for real-time updates.

I built a Yeoman generator to simplify Kattis challenge setups, supporting Go, JavaScript, and Python. It creates templates with input/output handling, making problem-solving faster and cleaner.

I combined chatbot development with LLM integration to create conversational bots, including one tailored for recruiters. Using SvelteKit, ChromaDB, and Llama2, I built tools for real-time data interaction and resume-based Q&A.

Inspired by Quiplash, this project uses a Java Spring backend and Angular/Vue frontend to manage multiplayer games with server-side data handling. Current polling mechanisms could be optimized with WebSockets or HTTP/2 server push for real-time updates.

This project combines my love for Runescape, AI, and programming to analyze Grand Exchange trends. It features a pyQt GUI, a Runescape API web scraper, and AI algorithms built with sklearn to predict item price trends.