race-prediction

Predict race from name and location

Predict your race times using historical data and the Riegel formula.

Predict race from name and location (model development)

ML model that predicts F1 race outcomes using real-time qualifying, weather and driver form data

In this report, I used social network analysis techniques to study the Huawei's customer connecting pattern. This report is based on the data from Huawei Social Network Data on Kaggle platform. Data Link: https://www.kaggle.com/datasets/andrewlucci/huawei-social-network-data

Private training intelligence for runners. Deterministic engines compute every number; the LLM coach only orchestrates tools and cites its evidence.

Running performance math in JS: VDOT score, race-time prediction (Daniels & Riegel), and Daniels training paces. Zero deps.

End to end Formula 1 race prediction system using machine learning, historical race data, and multi stage forecasting, with an interactive web application

Machine learning project for forecasting and predicting Formula 1 race results.

F1 Race Positions Prediction

Before the gun, a predicted finish time and placing for every registered runner in a Newfoundland road race, from public race history, published and hashed in advance, with the error published after.

Paceloop - the next generation of running coaches. A professional AI running coach as big as the sport itself: track runs, heart-rate zones, splits, race predictions, and personalized training plans. Web + Android, self-hostable.

A Flask REST API serving a Random Forest model trained on Ergast F1 data. It predicts a driver's finishing position from their grid spot, circuit, driver, and team to power a Flutter mobile frontend.