Annual Challenge

Challenge Participants

The 2017 Young Scientist Challenge Finalists and State Merit Winners have been announced! Use the tabs below to check out their big ideas and explore all finalists, winners, mentors and judges!
TraffEnerate: Generating Electricity from Vehicular Traffic
Laalitya Acharya
2017 Finalist
Meet Laalitya. Laalitya hopes to revolutionize energy in developing countries by using vehicular motion to generate and harness clean and affordable energy.
A Novel Method for Oil Spill Cleanup Using Biomass
Anika Bhagavatula
2017 Finalist
Meet Anika. Anika hopes to find a natural sorbent which would be effective in replacing current environmentally damaging solutions to remedy oil spills, using pomegranate husk and orange peels.
Archimedes Inspired Hydro-Powered Solar PV Azimuth Tracking Mechanism: Improving the Efficiency of Renewable Energy in Developing Nations
Austin Crouchley
2017 Finalist
Meet Austin. Austin hopes to improve the efficiency of renewable energy in developing nations using a unique low-cost solar tracker alternative.
Remembering Alzheimer's: In silico study on plant alkaloid derivatives as inhibitors of 3 well known drug targets responsible for the pathogenesis of Alzheimer's disease
Rithvik Ganesh
2017 Finalist
Meet Rithvik. Rithvik's project deals with how specific plant components can be used to treat Alzheimer's disease.
Laser Coach
Simone Jacobs
2017 Finalist
Meet Simone. Simone hopes to improve tennis skills all while keeping the public active and healthy by making tennis more accessible.
Lawn Bot
Kathryn Lampo
2017 Finalist
Meet Kathryn. Her innovation, Lawn Bot, aims to reduce the amount of fresh water wasted during home lawn care.
PBIF (Perception Based Interaction Framework)
Samu Shrestha
2017 Finalist
Meet Samu. Samu created a framework-based application that allows users to create custom-tailored forms of visual and verbal interaction between desktop and mobile devices.
Bringing the Incentive Back to the Incentive Spirometer
Allie Weber
2017 Finalist
Meet Allie. Allie hopes to revolutionize the way people design medical equipment for children starting with the incentive spirometer.
SLIDEMAP Precision Digital Pathology in Cancer Using Deep Learning
Devin Willis
2017 Finalist
Meet Devin. Devin hopes his innovation SLIDEMAP can act as the pathologists in third world countries while in developed countries it can aid pathologists and help them make more accurate diagnosis.