Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
Computer Vision app designed to analyze basketball shots from video footage using YOLOv11 finetuned with a custom dataset.
Official implementation of TrackNetV5
A collection of literature on the use of computational intelligence methods in sports
🏅 AI-спорттех — SportTechCup 2024
"Predicting Ball Location From Optical Tracking Data" - contains data analysis, model development and testing
A minimalistic toolbox for extracting features from sports activity files written in Python
Metrics to analyze table tennis games
This project was developed in Java, using the Java Swing library to create an intuitive and friendly user interface. Its main purpose is to assist in the management of statistics on volleyball matches and players, simplifying the process of collecting, analyzing and visualizing essential data for the performance of teams and athletes.
The app enables booking football fields, organizing challenges, and connecting with gyms, trainers, and sports services. It also offers reservations for swimming pools, photoshoot locations, and sports gear purchases, with order tracking and delivery. A version for venue owners and trainers
🏓 30th Place Solution for AI CUP 2025 | An machine learning project for the AI CUP 2025 (Top 3% finish). Features robust player-centric validation and domain-driven feature engineering to achieve strong generalization on private data.
A simple fitness tracker app with material you design support
In this project, we created an 'expected goals' metric to help us assess a team's performance rather than the actual number of goals scored. We merged this metric with the calculation of a team's offensive and defensive ratings, which are updated after every game, to create a classification model that predicts the outcome of future matches, as w…
World Cup 2026 match outcome predictor using ELO ratings + Gradient Boosting.
Bachelor Thesis application backend
This is my small project to learn how to re-train yolo26 with dataset in Roboflow and sport analysis
End-to-end NCAA Division I track and field analytics pipeline with 6.5M+ performances, athlete-development modeling, school rankings, DuckDB, and a public Streamlit explorer.
Statistical analysis of elite chess ahead of the 2020/21 FIDE Candidates
Extract video chapter timestamps and title screens using template matching and OCR - perfect for sports, podcasts, and content creation
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