Meet 14-year-old San Diego student Sharvi Mahajan, whose AI system can detect driver fatigue before accidents happen & who is now competing for $25,000 science prize
Sharvi Mahajan, a 14-year-old Indian-American student, is a finalist in the 2026 3M Young Scientist Challenge. She developed an AI system using EEG to detect driver fatigue before accidents occur. This innovative technology monitors brain activity...

According to a Times of India (TOI) report, Sharvi Mahajan, an eighth-grade student at Bernardo Heights Middle School in California, created NeuroDrive Alert, an electroencephalogram (EEG)-based machine learning system designed to identify early signs of fatigue and warn drivers before they fall asleep.
How NeuroDrive Alert works
Sharvi's innovation combines electroencephalography (EEG) and machine learning to monitor changes in brain activity over time.Read more: This Himalayan treasure helped over 200 families earn lakhs while protecting 100 sq km of forest
EEG records the brain's electrical signals using sensors placed on the scalp, while machine learning analyses those signals to identify patterns associated with fatigue.
The system is designed to detect microsleep, brief episodes of sleep that can last only a few seconds but may prove dangerous when driving or operating machinery.
Five Indian-American students reach the final
Sharvi is one of five Indian-American students to qualify for the final round of this year's competition.The other finalists of Indian origin are:
- Aaisha Asif (Florida)
- Raji Doshi (Connecticut)
- Arika Kundu (Minnesota)
- Naboshree Santra (Florida)
Why Sharvi entered the competition
Speaking about the competition, Sharvi said she wanted to improve the practical impact of her project while learning from experts.She added that science, technology, engineering and mathematics (STEM) has always been a major passion.
Why EEG fascinates her
According to TOI, Sharvi considers the EEG machine one of the most important inventions of the past century because it can measure brain activity without invasive procedures.She said EEG technology can reveal valuable information about neurological conditions, sleep quality and attention span, and also plays a key role in developing Brain-Computer Interfaces (BCIs) that help people with physical disabilities communicate and regain independence.
A future in neuroscience and artificial intelligence
Sharvi hopes to build a career combining neuroscience and artificial intelligence.She said she aspires to become a computational neuroscientist or establish a technology start-up focused on brain science and AI.
"I have always been fascinated by the brain and the mysteries it holds," she said, adding that developing AI models is another area she enjoys exploring.
What is the 3M Young Scientist Challenge?
The 3M Young Scientist Challenge, organised by 3M and Discovery Education, invites students in Grades 5 to 8 to develop innovative science-based solutions to everyday problems.Over the coming months, each finalist will work with a 3M scientist to refine their project before presenting it at the final event on October 12 and 13 at the 3M Innovation Center in St Paul, Minnesota.
The overall winner of the competition will receive a $25,000 prize.
Inputs from TOI
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