A Deadlock demo / replay parser
LSTM neural network for predicting player actions in CS:GO matches with 87.9% accuracy on professional gameplay data
Enable automatic topic-based memory for Claude Code to maintain context across sessions and data compactions without losing information.
This project has the objective of training valorant teams stats throughout the championships and predict the VALORANT Champions winners @ Setember 2026
Predicts the winner of a CS:GO round from mid-round snapshot features using scikit-learn and XGBoost.
A high-performance AI assistant for real-time gameplay analysis. Features tactical strategy suggestions, skill-gap detection, and personalized training loops to level up your rank.
Polyglot esports scouting platform with Next.js UI, Spring Boot API, and Python analytics engine that convert natural-language prompts into contract-versioned tactical reports.
Machine Learning project to predict Counter-Strike 2 (CS2) match outcomes using data scraped from HLTV.org.
Twitch category live stream data extractor
R Shiny dashboard for elite League of Legends performance analytics (MSc thesis project).
AI coaching companion for League of Legends using Amazon Bedrock Claude with year-end recaps and performance insights
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