A compilation of resources for sport scientist building Athlete Management Tools in Shiny

Provides a pseudo API for TFRRS to query Athletes or Teams

🏀 Game and simulation system for reaction time training and coordination improvement for athletes based on Arduino

The source code of the Django app that is running my Athlete website.

Web Scraping from Asian Games 2018 (EN) Website

Citation-grounded AI for athletes — performance nutrition, supplementation, recovery. RAG over USDA, NIH, CDC, WHO, and PubMed.

The code repo for the official site.

The NCAA Athlete Data is a dataset classifying NCAA athletes by skin tone using various image classifiers.

Daily health metrics & composite athlete readiness score from Garmin Connect — CLI + Python API

📊 Intelligent athlete performance analysis platform • Physical assessment management • Maturation-adjusted analytics • Position-specific scoring engine • Interactive dashboards • Built with Next.js, NestJS & PostgreSQL

R script for athlete-level Force–Velocity profiling from ForceDecks exports. Implements Samozino’s method, dynamic slope optimization, and athlete-specific feedback. Includes regression plots, FVI classification, and batch analysis across multiple athletes.

Human energy cycle tracker and optimizer.

A Flask application allowing the user to upload a ECG to a webserver and get a prediction back

APEX — interactive concept site for a unified digital infrastructure for high-performance multisport athletes

A website about Jan Vítek and his journey to the World Surf Games ISA

This data analysis project utilizes Python for processing, with SQL for data extraction and libraries like NumPy and Matplotlib for data visualization.

My photos in races