The record
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- 18-year-old student Aditya Sengupta developed an AI-based system called ForeCAT that predicts clear-air turbulence, an invisible danger that strikes without clouds or weather warnings.
- The system combines atmospheric physics with neural networks and recorded a 95 percent classification accuracy rate compared with existing standards.
- ForeCAT back-tested the May 2024 Singapore Airlines turbulence event with 87 percent accuracy.
- Aditya received a $100,000 Davidson Fellows Scholarship for the invention.
- Clear-air turbulence risk is expected to rise with climate change, and ForeCAT could be linked to air traffic control systems to help pilots change routes early and fly more safely.
What to watch next
- Whether ForeCAT gets integrated into air traffic control or flight planning software.
- Aditya's next steps in studying computer science and natural sciences.
- Further accuracy tests of the system on more turbulence events.
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Named United States · Singapore · India · Singapore Airlines · Aditya Sengupta · Davidson Institute · ForeCAT · Regeneron Science Talent Search · VEX Robotics
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