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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.
๐ป PREDICTIVE MODEL WITH +/- 0.2 LAMDA AUTHORITY! ๐จ Logs real-time data for ML insights ๐ Self-learning Neural torque converter model ๐ง Boost forced induction efficiency by 12%+ ๐ ๏ธ SHAVE LAP-TIMES BY AT LEAST 0.5s ๐๏ธ
gym-qRacing is a comprehensive race simulation implemented as a OpenAI Gym environment. The research goal is to identify the potential of reinforcement learning for motorsport strategy decision-making.