Formula One: Racing Intelligence in the Age of AI

This study proposes an all-inclusive, data-driven system to optimize the performance of Formula One racing by incorporating state-of-the-art technology such as blockchain, edge computing, artificial intelligence, and real-time telemetry. The current systems of Formula 1 depend heavily on manual analysis and traditional data collection, thereby limiting the ability to make decisions in real time. The proposed system, however, incorporates high-resolution telemetry sensors with Nvidia Jetson edge computing devices, AI-driven prediction models, and secure blockchain protocols so that performance improvement during a race can be achieved even faster and more accurately. The key components are in the form of telemetry sensors for real-time data acquisition, edge computing for real-time processing, blockchain technology for secure data exchange and artificial intelligence models for predictive analytics. This method improves vehicle performance, adjusts to the race condition changes, and enhances general decision-making with an efficient, transparent, and scalable solution. The system architecture also accommodates future technological development as well as cooperation within the motorsport industry. The implications of the findings spread wider to driverless car industries and other data-dependent sectors, showing how blockchain and AI can change the game plan of racing and corporate formations.