Developer Builds AI Simulator to Resolve F1 Pit Stop Strategy Debates

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A developer has created Chaos Engine, an F1 strategy simulator that lets fans test alternate pit stop decisions against real race data. The tool uses statistical detection to identify the most dramatic moments in actual races, such as unusual lap time deviations or outlier pit stop timing, and assigns each race a 'Chaos Score' based on those anomalies. Users can select one of these moments, choose an alternate strategy, and receive a structured AI verdict on whether the call would have improved race position. The reasoning engine, powered by Google's Gemini via AI Studio, processes real inputs including tyre degradation curves, pit loss baselines, and traffic gaps to return grounded predictions rather than generic responses. The project was built as a submission for a weekend developer challenge and is available publicly on GitHub and AI Studio.

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