To make roads safer, we need new ways to test driving skills and make transportation systems better than ever. This study presents an Intelligent Driving Assessment System that uses multiple sensors to track important driving metrics in real time. The device checks the driver's skill by looking at how much pressure they put on the accelerator pedal. When you combine data from several sensors, you get a full picture of how a driver acts and performs. The pressure on the accelerator pedal shows how well the driver controls the throttle and how quickly they speed up, which are both important for judging driving skill and fuel efficiency. The driver's alertness and focus are tracked by sensors that watch for blinking. The MEMS sensor steering control study also looks at how well drivers stay in their lanes and how safe their cars are. Advanced AI algorithms use machine learning to look at and understand sensor data in real time to judge each driving trait. These algorithms look at a driver's past driving habits, the weather, and how traffic changes to make a personal and accurate judgment of their performance. The AI-powered system combines data from many sensors to give a percentage score for safer driving and licensing choices. A system like this could help both AZS drivers and society as a whole. The technology lets drivers know how good they are at driving by showing them where they need to improve and making them more aware of their own driving. People who use the road more responsibly and safely are those who are watched and given feedback all the time. The system helps transportation and regulatory agencies check how well people can drive, give out licenses, and make sure safety standards are followed in a fair and systematic way.