Assessment of Breast Density Using Unsupervised Variational Auto-Encoders

By: Su K.Year: 2021School: Capistrano Valley HighGrade: 11Science Teacher: Cheryl Johnson AbstractAbout 1 in 8 U.S. women will develop breast cancer in their lifetime. Breast density is a strong indicator for breast cancer. Women with extremely dense breasts have a sixfold greater risk of developing breast cancer. This study is about the assessment of breast

AI Archery Coach: Using Computer Vision and LSTM Neural Networks to Evaluate Archery Form

By: Dylan S.Year: 2021School: University HighGrade: 10Science Teacher: Valerie Thompson This project explores the development of a two-stage computer vision and LSTM neural network program that can assist archers by giving them an evaluation on their release. The computer vision function was designed specifically to replace a wrist-worn device developed in a prior project. Computer


By: George Z.Year: 2021School: Santa Margarita Catholic High SchoolGrade: 11Science Teacher: Yu Sun My Non-profit organization PantryGo, is an app that serves to deliver resources from food pantries directly to individual households. The application targets families who have difficulties reaching food pantries because of limited transportation, multiple jobs, absence of family members, or new financial

Voting Fraud Detector

By: Ben A.Year: 2021School: McPherson MagnetGrade: 8Science Teacher: Elizabeth Conrad Ben’s project is titled “Fraud Detector,” and based on the research question, “Can Benford’s Law detect voting fraud?” Benford’s Law is a theory that the first digit in every number of certain data sets will follow a pattern. The pattern is that about 30% of

The data behind March Madness

By: Clark E.Year: 2020School: Villa Park High School, 9th gradeDivision: Senior March Madness is a men’s college basketball tournament run by NCAA. It was created in 1939 and has been attracting many viewers over the course of its life. It works by putting teams against each other in a bracket, and as the bracket narrows

Assessment of Endotracheal Tube Position Relative to the Carina Using A Cascaded Convolutional Neural Network Approach

By: Su K., Jake A. and Peter C.Year: 2020School: Capistrano Valley High School (Mission Viejo) and University of California (Irvine), 10th GradeDevision: Senior Abstract Rapid and accurate assessment of ETT location via a deep learning system may significantly expedite patient care in the ICU setting, where a misplaced ETT can result in severe patient morbidity