Open-source multi-agent AI platform for Formula 1 race replay, strategy simulation, and explainable race strategy recommendations. (work in progress, MVP in legacy branch)
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Updated
Oct 4, 2026 - Jupyter Notebook
Open-source multi-agent AI platform for Formula 1 race replay, strategy simulation, and explainable race strategy recommendations. (work in progress, MVP in legacy branch)
An naive anomaly detection and data visualization tool for F1 on board telemetry data.
Finding explainable models to predict Formula 1 Qualifying Results
Full-stack F1 data dashboard powered by FastF1. Visualize lap positions, tyre strategies, and race results for any session from 2018 onwards. Next.js frontend · FastAPI backend · deployed on Vercel + Render.
F1 data analysis & telemetry workstation — lap comparison, throttle/rpm charts, track visualization
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.
Boxup: Real-time Formula 1 telemetry, race analytics, and ML-powered championship predictions platform.
Suzuka 2025 F1 race predictions by Otto.rentals — built for fans who love speed, stats, and bold visuals.
AI-powered F1 race predictions & head-to-head driver comparisons.
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
A live Formula 1 race strategy engine — ingests F1's live timing feed, models tyre degradation and safety cars, and simulates the remaining race to answer: should we pit now?
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