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.  Under review at the National High School Journal of Science.

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. Under review at the Curieux Academic Journal.

Global Health Leaders Conference (GHLC) at Johns Hopkins University – Selected Participant (July 2025)
Submitted to the Student Speaker Series (SSS); awaiting selection.
Proposed Talk: “Beyond Accuracy: Building Fair and Transparent AI for Autism Diagnosis”

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: “Drop Bread Toaster” – Inventor

Filed August 2025 | Patent pending with the United States Patent and Trademark Office (USPTO)
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.