Predicting the outcome of F1 races by classifying drivers into a given final placement based on their stats going into a race

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F1 Dashboard is a machine learning-based prediction system for Formula 1 racing. The system allows users to select race inputs such as driver, circuit, tire compound, and lap number, then uses trained machine learning models to generate predictions about race outcomes and performance.

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U-Net that predicts the optimal racing line for any circuit from centreline geometry alone — trained on 30 F1 tracks, validated in Assetto Corsa (−3.5s vs baseline on Istanbul Park zero-shot). Future works include training a new model solely from Assetto Corsa tracks and racing lines taken from within.

F1 Racing Prediction Project Plan using Physics-Informed Machine Learning

Django app for creating account and make predictions about F1 racing.

This repository is combination of all my racing analysis and prediction work especially F1.

Fantasy F1 Analyzer is a modular dashboard built for Formula 1 fans who love stats, strategy, and fantasy racing. Whether you're tracking race results, comparing predictions, or building your dream team, this app gives you the tools to analyse performance like a pro.

F1 RaceIntel is an advanced machine learning system designed to analyze Formula 1 race data and generate actionable race-strategy intelligence. The project leverages lap-time telemetry, pit-stop metrics, driver performance patterns, and ML predictions to estimate finishing positions and identify the most optimal racing strategy.

F1 RaceIntel is an advanced machine learning system designed to analyze Formula 1 race data and generate actionable race-strategy intelligence. The project leverages lap-time telemetry, pit-stop metrics, driver performance patterns, and ML predictions to estimate finishing positions and identify the most optimal racing strategy.