Exploring behavior design through rapid AR prototyping and machine learning integration.

Context

Selected through a competitive application process for Snapchat's AR Creator Residency, I developed an interactive Lens under tight time constraints, combining storytelling, gamified interaction, and lightweight machine learning.

Nourish Snap Lens encouraging micro-habit engagement through AR interaction

The Challenge

Design an engaging AR experience that:

• Captures user attention within seconds
• Feels playful without being prescriptive
• Integrates real world object recognition
• Operates within strict performance limitations

All within a compressed residency timeline.

What I Did

• Conceptualized and delivered a rapid Proof of Concept
• Designed interaction flow optimized for micro-engagement
• Integrated lightweight ML to enable environment-sensitive responses
• Developed character systems and narrative structure
• Built wireframes and prototypes to secure developer alignment
• Collaborated with Snap engineers to refine performance constraints
• Iterated based on internal testing and early feedback

Lens interaction flow from activation to habit reinforcement

System Thinking in AR

The Lens leveraged:

• Real world object detection
• Lightweight personalization logic
• Character-based motivational interaction
• Motion-captured animations

The goal was to create a frictionless experience that felt intuitive within seconds of activation.

Characters representing motivational actions triggered through environment interaction

Impact

Launched as part of the Snap AR Residency showcase.

Continued collaboration as an Official Snap Lens Creator.

Reflection

Designing for AR requires extreme clarity. Users grant only seconds of attention. Every interaction must feel immediate, intuitive, and rewarding.

This experience sharpened my ability to prototype rapidly, design under performance constraints, and balance delight with functional logic.