A 14-year-old Indian-American student named Sharvi Mahajan has developed a system called NeuroDrive Alert, which uses EEG and machine learning to predict driver fatigue and potentially prevent accidents. The system monitors brain activity to detect signs of fatigue and warns drivers before they fall asleep. Sharvi, an eighth-grader from California, was selected as one of ten finalists in the 2026 3M Young Scientist Challenge, making her one of five Indian-American participants in the final round. Her project combines EEG technology, which measures brainwave activity, with machine learning algorithms to identify microsleep episodes—brief moments of unconsciousness that can be dangerous while driving. Sharvi expressed her passion for STEM fields and saw the competition as an opportunity to enhance the practical applications of her work.
Bias read (Center): The article focuses on a scientific achievement by a young individual and does not engage with politically charged topics such as government policies, elections, or social issues. It presents information about a technological innovation without taking a stance on ideological positions or political立场





