CaffiTeen – Congressional App Challenge 2025 (NJ-05)
Teen Caffeine Awareness Web App | 2025
CaffiTeen is a web app that helps teens understand their caffeine intake through half-life tracking, visualized data, and simple health guidance.
Program: Congressional App Challenge (NJ-05)
Approach: Built with Bubble.io and Chart.js, featuring behavioral-science content and responsive UI/UX
Outcome: Delivered a functional app, 3-minute demo video, 20-slide presentation, and an official trifold board
Impact: Supports healthier caffeine habits among teenagers
Congressional App Challenge Fair
CaffiTeen was invited to the NJ-05 App Challenge Fair hosted by Congressman Josh Gottheimer, held on November 15, 2025, at the Hackensack Recreation Center. I showcased the app and shared the project with the community.
From Sips to Substances – BCA Research Expo 2026
Modeling Energy Drink Consumption as a Behavioral Predictor of Adolescent Substance Use
Program: BCA Research Expo 2026
Approach: Analyzed the 2024 Monitoring the Future national dataset (N = 17,351) using chi-square tests and multivariate logistic regression to evaluate demographic, behavioral, and attitudinal predictors of daily energy drink consumption and substance use
Methods: Odds ratio modeling, risk-factor analysis, and predictive behavioral framework
Outcome: Presented a full academic research poster and statistical findings at the BCA Expo
Key Finding: Daily energy drink consumption significantly increased the likelihood of alcohol, marijuana, amphetamine, hallucinogen, heroin, LSD, and cocaine use (up to +63% for cocaine)
Doctor Skin – Skin Cancer Classification Chatbot (Python, CNN, NLP) | 2025
Developed an AI-powered chatbot that integrates convolutional neural networks for skin cancer image classification with natural language interaction.
Program: Capstone project, Columbia SHAPE Program (Prof. Daniel Bauer)
Approach: Combined image classification (CNN) with conversational AI (NLP)
Outcome: Built a functional prototype and delivered an 8-minute final presentation to faculty and peers
Impact: Explored applications of AI in healthcare, emphasizing accessibility and early diagnosis support
Comparative analysis of AI/ML driven QCHAT-10 and QCHAT-25 methodologies for Autism screening in toddlers using different classifiers
: AI in Autism Screening Research – Researcher, May/2025
: Compared QCHAT-10 and QCHAT-25 autism screening tools using multiple machine learning classifiers. Focused on improving early diagnosis accuracy in toddlers. National High School Journal of Science (NHSJS) — Invited for revision after peer review.
Energy-Efficient 6G Networks – Research Internship (Simulation, AI/ML) | 2025
Program: Research internship, Department of Electrical Engineering, IIT Bombay (Dr. Rashmi Kamran)
Approach: Investigated energy efficiency aspects of next-generation 6G mobile networks through simulations and analytical modeling
Outcome: Completed simulations, documented findings, and presented results to research mentor
Impact: Contributed to sustainable network design research and gained hands-on experience in applied AI for communication systems
Fair and Explainable Machine Learning for Pediatric Autism Diagnosis: Combining Bias Analysis and Model Interpretation – Researcher September / 2025
: Explored model fairness and interpretability in pediatric ASD diagnosis using Random Forest, Logistic Regression, and XGBoost.
Applied SHAP and LIME to increase transparency and reduce bias in AI predictions.
Curieux Academic Journal Oct. 2025 (Accepted, forthcoming issue).
Under review at the PennScience High School Journal.
Global Health Leaders Conference (GHLC) at Johns Hopkins University – Selected Student Speaker Series (SSS); Oct 2025
Proposed Talk: “Beyond Accuracy: Building Fair and Transparent AI for Autism Diagnosis”
Attended keynote lectures and interactive panels led by experts from the World Health Organization, Johns Hopkins, and other global institutions, exploring healthcare policy, epidemiology, and leadership in global health. Selected as one of the top 3% (≈700 applicants) to deliver a presentation titled “Beyond Accuracy: Building Fair and Transparent AI for Autism Diagnosis.” Presentation was featured on GHLC’s official YouTube channel, recognized for innovative research integrating AI, neuroscience, and public health.
Creator: Eunseo Whaong
National History Day (NHD) 2025 – Individual Documentary
Theme: “The Rights and Responsibilities of Leadership”
Title: “Colin Powell’s American Journey”
Creator: Eunseo Whaong
Design Patent: “Drop Bread Toaster” – Inventor
Filed Aug 2024 | Granted July 2025 (USPTO Application No. 29/956,681)
Developed an innovative toaster that automatically cooks and ejects bread after insertion.
Patent granted after 15 months of examination by the United States Patent and Trademark Office.
Design Patent: “Focus Time Pad” – Inventor
Filed August 2025 | Granted August 2025 by USPTO (Application No. 30/018,792)
Created a bear-shaped cushion with an integrated timer to help children with ADHD and concentration difficulties.
Designed to combine tactile comfort with visual time cues, supporting focus in classrooms, therapy sessions, and at-home learning.
