My personal project for F1 race strategy analysis and visualisations, including "What made the difference?" reports/blogs.
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Updated
May 31, 2024 - MATLAB
My personal project for F1 race strategy analysis and visualisations, including "What made the difference?" reports/blogs.
AI Models for Strategy Recommendations in Formula 1 races. Final Thesis Project of UIE Intelligent Systems Engineering (work in progress).
Open-source race engineer simulator driven by real-time vehicle dynamics. Drive the strategy, not the car. AI executes. Physics punishes.
Solis is a voice-driven F1 22 AI race engineer built to interpret live telemetry, simulate strategy calls, and deliver real-time strategic feedback. (WIP. INCOMPLETE)
Monte Carlo simulator that ranks F1 two-stop tyre strategies using real FastF1 telemetry, modelling tyre degradation, fuel burn, and safety-car probability over 10,000 race sims.
Production-ready F1 strategy simulator with real-time telemetry analysis, pit optimization, and faster API responses via Redis caching.
My project for F1 race strategy analysis and visualisations
ML-based optimization of Formula 1 race strategies using 2024 season data.
A Formula 1 race strategy analyst that pulls real timing data, remembers past analyses, and explains pit stop decisions, tyre strategies, and driver comparisons with confidence scores.
Production-grade Formula 1 telemetry dashboard built with React and Vite for multi-driver lap analysis, tyre degradation modelling, race strategy simulation, and high-performance custom SVG data visualizations.This works well because it highlights: production-grade architecture domain depth (F1 telemetry) performance engineering data visualization
Physics-based and optimisation-driven modelling of cycling breakaway strategies for different rider archetypes under varying race conditions.
Local-first educational platform for understanding Formula 1 car behavior, subsystem interactions, control, and race strategy through interactive models.
AI-powered F1 race strategy platform — predicts win probability, optimal tyre strategy & pit windows using a RandomForest trained on 2023 Formula 1 telemetry data.
AI-powered F1 race strategy copilot using IBM Granite + Docling + FastF1 telemetry + Q-Learning RL agent. IBM SkillsBuild AI Builders Challenge May 2026.
Autonomous F1 strategy platform using OpenF1 live telemetry, event-driven agents, and parallelized Monte Carlo simulations for optimal race predictive analytics.
F1 race strategy optimizer — 215k real laps, Monte Carlo SC simulation, MAE 2.6s. FastAPI + Next.js, deployed on Render + Vercel.
Monte Carlo pit stop optimiser built on real F1 telemetry — tyre degradation modelling, rival undercut analysis, and a live Streamlit dashboard
Open-source motorsport replay and intelligence engine — deterministic race state, strategy insights, spoiler-free replay
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