This system integrates advanced calibration techniques with real-time sensor feedback, featuring functionalities such as base map loading, gradient tuning, detuning upon part degradation, active aerodynamic controls (including DRS and braking stability), and an active lambda controller to maintain optimal air–fuel ratios.
NTec Web is a modular, AI-driven automotive tuning interface that integrates real-time sensor data, advanced machine learning decision-making, and interactive front-end controls. It enables automatic and manual tuning adjustments, supports detuning during part degradation, and includes advanced features like active lambda control and aero systems.
A data visualization project meant to analyze and visualize the evolution of key performance metrics in Formula One from 1950 to 2024 using JavaScript, D3.js, and Vega-Lite on the Observable platform.
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