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Blind corner, stalled car, no warning. F-HUD.1 changes that: a connected helmet with a live minimap HUD, buzzer hazard alerts, plus heart rate and whiplash data streamed to the crew.
At 330 km/h, a brake warning 0.3 s late is 28 m too late. ApexTrace breaks an F1 car's warning system in every way it can fail, then finds the cheapest upgrade that fixes it.
The driver most at risk isn't the one who crashed; it's the one who hasn't arrived yet.
AI pit wall that predicts tyre failures, lock-ups and wheelspin from telemetry, explains the cause, and tells the driver and crew when to box. It called BOX 15 laps before a real F1 failure.
Fly Marshal is an AI marshal for racing series that can't afford one. Drones predict incidents, get in position early, stream live footage and spot debris, at a fraction of the cost of fixed cameras.
A telemetry-and-radio-based FIA assistant, suggesting safety measures milliseconds after a racing incident. The assistant also analyzes telemetry and provides solutions to improve spectator safety.
Imagine knowing exactly how the car is damaged before it fails. ImpactIQ analyses real time vehicle data against model simulations, updating driver and pit crew.
An offline F1 team-management simulator that combines exact 2025 race results with CAD $215M budget planning, crash repairs, historical strategy, weather, and FIA-style season audits.
F1 races often come with the surprise element of weather. Unexpected weather like rain causes an increased hazard risk. Our helmet aims to reduce the risk of crashing in the rain.
Built for the Ollon Track challenge, our F1 Safety Prediction ML Model uses XGBoost to analyze race telemetry and flag elevated track risks before they happen.
An AI-assisted motorsport safety and race-control system. FlagSense is designed to shorten the time between incident detection and driver warning.
Designed a Head-Mounted Display built into the visor of the drivers, using an internal mini-projector, to address the safety concerns of racing in the rain in Formula 1
ApexGuard is an AI Race Director for F1. By analyzing live track-wide telemetry anomalies and weather deviations, it predicts Safety Car deployments before human marshals can, saving crucial seconds.
A hardware-connected stress-testing environment that finds when a motorsport safety warning stops protecting the driver — not just whether it works once.
Every second a flag waits, cars race past the crash. Fast Flag's crash detectors and two machine learning models read every car's telemetry and recommend the flag earlier than the race control feed.
APEX runs 22 AI drivers through thousands of races to find which behavior, weather, and traffic combos cause dangerous conflicts measured with TTC/PET, then tested for fixes that actually help.
Lithiums battery in FormulaOne can combust if overcharged. My project does initial scan of chances of battery fire hazard before proceeding into race.
AI-powered F1 driver safety project that analyzes live race data and biometrics, recommends cooling changes to the pit wall, and enables human-approved real-time pump control.
An interactive series circuit simulator that shows the circuit two ways at once; physics behind it and the linear-algebra system that predicts it
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