Formula 1 driver comparison and analyzing tool.

An naive anomaly detection and data visualization tool for F1 on board telemetry data.

Finding explainable models to predict Formula 1 Qualifying Results

Machine learning model that predicts Formula 1 race results for the 2025 Shanghai Grand Prix using historical performance data, team strengths, and driver characteristics. Features data visualization, team change handling, and position progression forecasting.

F1 data analysis & telemetry workstation — lap comparison, throttle/rpm charts, track visualization

A Set Of Tools To Analyse F1 Sessions, Powered By The Fast F1 Library

Suzuka 2025 F1 race predictions by Otto.rentals — built for fans who love speed, stats, and bold visuals.

Jeddah 2025 F1 race predictions by Otto.rentals — built for fans who love speed, stats, and bold visuals.

Estimate Formula 1 qualifying results using ML

A comprehensive command-line tool for analyzing Formula 1 race data using the FastF1 library.

A comprehensive conglomeration of Formula-1 data in an organised representation.

Analyze F1 telemetry data on past sessions. View driver and constructor standings

Change my room's bulb colors based on F1 race leaders

Miami 2025 F1 race predictions by Otto.rentals — built for fans who love speed, stats, and bold visuals.

TyreWearWiz is a F1 telemetry visualization project mainly focused on Type Degradation in Formula-1 Races. The Repository collects, visualizes Tyre degradation data which an X-factor in building Race Strategies

A Python-based GUI tool for visualizing F1 telemetry with multiple data representations.

Production-ready F1 strategy simulator with real-time telemetry analysis, pit optimization, and faster API responses via Redis caching.

A data science notebook project focused on building a data pipeline from FastF1 session data, cleans lap-level datasets, trains qualifying and race-related models.

Your AI-powered Formula 1 race analysis and fantasy picks dashboard