A 14-year-old Indian-American student, Sharvi Mahajan, an eighth-grade student at Bernardo Heights Middle School in California, has been named among the 10 finalists of the 2026 3M Young Scientist Challenge. She developed NeuroDrive Alert, an electroencephalogram (EEG)-based machine learning system that detects early signs of driver fatigue and warns drivers before they fall asleep. The system uses EEG sensors on the scalp to record brain signals and machine learning to identify patterns associated with fatigue, including microsleep episodes. Sharvi is one of five Indian-American finalists, alongside Aaisha Asif (Florida), Raji Doshi (Connecticut), Arika Kundu (Minnesota), and Naboshree Santra (Florida). She entered the competition to learn new skills and refine her project's real-world impact, citing her lifelong passion for STEM. Sharvi considers the EEG machine a key invention for measuring brain activity non-invasively and notes its role in developing Brain-Computer Interfaces. She aspires to become a computational neuroscientist or start a technology venture focused on brain science and AI.