AI Health Platform
RAG Chatbot & Gamified Nudges — NJIT Capstone
88% usability task success rate with AI chatbot achieving 4.17/5 satisfaction across diverse demographics.
Context
This capstone project represents the intersection of AI engineering, product design, and health technology. I led both the UX research and AI implementation, building a platform that provides personalized health guidance through a RAG-powered chatbot while using gamified behavioral nudges to encourage sustained engagement.
The problem
Health information needs to be accurate, sensitive to demographics, and accessible. The challenge was building an AI-powered health platform that could provide personalized, safe guidance while being genuinely usable across diverse populations — and proving this through rigorous usability testing, not assumptions.
How I built it
Conducted 15+ stakeholder interviews and created journey maps to understand diverse health information needs
Built an 80+ component Figma design system with WCAG 2.1 AA compliance
Implemented LangChain RAG chatbot with 15+ prompt iterations for safety, tone, and demographic alignment
Designed gamified AI nudges driven by behavioral data to encourage health engagement
Built full backend with 15+ database tables, 40+ REST endpoints, JWT authentication
Led 5-person Agile team through design, development, and testing cycles
Why these choices
15+ prompt iterations for safety
Health AI demands exceptional care in tone, accuracy, and safety. Each iteration addressed specific failure modes: demographic insensitivity, medical overreach, accessibility gaps.
Gamified nudges over passive content
Static health information doesn't drive behavior change. Gamified nudges based on behavioral data create sustained engagement without being manipulative.