Swim pose recognition utilizing the YOLOv7 pose estimation

Analysis of Team Novo Nordisk (TNN) cycling and diabetes data

A modern SaaS-style Athlete Fatigue Management Dashboard built with Next.js 15, Tailwind CSS, and Recharts. Features ambient glassmorphism UI and dark mode.

NCAA web3 Athlete Profile(s)§§§

Preprocecssing of Team Novo Nordisk (TNN) cycling and diabetes data

Repository using Transfer learning of Yolov8n-pose to obtain key points in pose estimation and time series generation for each video frame

GRU-based model for heart rate calibration and 1-minute forecasting using multimodal wearable sensor data

Transformer-based model forecasting athlete readiness from physiological and training data

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.

Streamlit App to Tracking Athlete Performance in UNNES & last project in my course