Challenge Winner Gallery

Jiwoong, a twelfth-grade student from Connecticut, created “Hazel,” an olfactory mood enhancer and safety monitor to combat 'Kodokushi', fatal accidents that happen particularly to elders when no one is around to call an emergency, by constantly detecting their presence and analyzing their mood through user-friendly tarot card tags.

Nehal, a ninth-grade student from Texas, created a neural network to ensure all autonomous cars move in accordance to their neighbor's speed, direction, and distance to help avoid collisions. She took inspiration from the collision avoidance strategies used by bees and fish in the wild.

Esha, an eleventh-grade student from North Carolina, created "outSMARTPD", a smartphone app that objectively assesses Parkinsonian symptoms to determine a patient's percent likelihood of having Parkinson's Disease. Using the in-built MEMS accelerometer and gyroscope sensors in smartphones and a backend Python algorithm she created, outSMARTPD objectively evaluates motor and non-motor symptoms and allows the patient to video record and log their symptoms to allow self-monitoring and patient empowerment.