Overview
Privacy-first AI diagnostic system combining an adaptive questionnaire engine with an on-device image processing pipeline. Designed for zero sensitive data transmission — all inference runs client-side.
Problem
Sexually transmitted infections are a major public health issue in the U.S., with millions of cases annually and significant barriers around stigma, accessibility, and early diagnosis.
Solution
Built an AI-driven diagnostic system that combines adaptive questionnaires and image processing to provide private, personalized preliminary diagnoses and guidance.
Features
- Personalized diagnostic questionnaire
- Image-based analysis pipeline
- Privacy-first architecture (no sensitive data transmission)
- Context-aware health recommendations
Architecture
- User onboarding + diagnostic flow
- AI-based image processing pipeline
- Rule-based + model-assisted decision system
Impact
- 1st Place — National AI Health Hackathon
- $20,000 grant funding
- Recognized by NASEM, CDC, and NACCHO
- Built solution addressing U.S. STI epidemic
Awards
1st Place
National Academies of Sciences, Engineering, and Medicine (NASEM) · CDC · NACCHO
$20,000
Tech
Team
- Joshua Choi
- Nathan Choi
- Paul Wong
Press
National Academies of Sciences, Engineering, and Medicine (NASEM) · CDC · NACCHO
Featured as a winning solution addressing barriers in sexual health care through AI-driven diagnosis and personalized guidance.