

Photos from live demo






The Future of the Window Display
SeeFoam explores the future of the window display. It brings the experience of branded visual merchandising to blind and visually impaired audiences, while also offering fully sighted users a richer mix of sound, depth and interaction beyond a flat 2D canvas.
Grounded in research and conversations with differently abled participants, SeeFoam combines augmented reality, machine learning for object detection and advanced natural-language text-to-speech powered by ElevenLabs. Built and prototyped in Play and Xcode, I created an MVP that users could interact with by scanning different elements of a physical model designed to simulate a real window display.
Project type
UX design
Area
Accessibility
Platform
iOS
Year
2025
Client
Personal
Audience
Everyone
Impact Breakdown
Transforming Visuals








Designing a friendly, adaptable system
The SeeFoam system was a complex architecture to build, as it spanned across a variety of different screens, and had to be accessible via voice.
This meant visual cues, familiar patterns, and iconography had to be distinct and clear throughout the experience – and hierarchy became more important than ever.
I approached this project from a place of considering "how will this be visualised for a blind person", and built a system that maintains mental anchors (in space), but also allows content and vibrancy of visuals (and in the case of blind users, vibrancy of sound) to shine through.
Real demos, on device












A new way of working, with my users in the driving seat
Designed and developed with accessibility as the core focus at every turn, I designed SeeFoam from a place of function and utility, and brought in visual flourishes and motion to add life, where it felt measured and appropriate.
This design direction, coupled with continuous feedback loops from different groups, anchored the product development in a socially conscious, responsible approach that included my users in the foundation of all the decision making.
I learnt a great deal working in this way, and believe the outcome feels great, because it does good for my users ethically.