When Emily first saw the perpetually congested intersection in front of her school, she decided to change it with code. After self-studying graph theory and machine learning algorithms, she combined real-time traffic data to develop an intelligent traffic optimization system that dynamically adjusts traffic light timings. Through repeated model tuning, sensor calibration, and communication with traffic authorities, small-scale tests showed a 30% reduction in average travel time and a significant decrease in vehicle emissions. Emily used code to connect hurried pedestrians and vehicles, earning herself a shining highlight for her MIT application.