🚀 Revisited an old idea and brought it to life with Google Stitch. A while ago,🚀 Revisited an old idea and brought it to life with Google Stitch. A while ago,
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🚀 Revisited an old idea and brought it to life with Google Stitch.
A while ago, I worked on a concept called 'EatSmart,' a smart refrigerator experience designed to help households reduce food waste through inventory awareness, freshness tracking, shopping assistance, and sustainability insights.
The project never progressed beyond low-fidelity wireframes.
For the Google Stitch Challenge, I decided to revisit it and see how quickly I could transform those wireframes into a polished MVP.
My workflow:
🧊 Imported the original .fig wireframes into Stitch
🎨 Generated an initial design system and visual direction
✨ Used in-place edits to refine screens and flows
🔄 Explored multiple dashboard and splash screen variations
🎬 Experimented with animated variations and ambient motion
🔗 Generated an interactive prototype in a single click
♿ Ran accessibility audits to identify improvements
📱 Explored alternate device adaptations
What impressed me most wasn't just the screen generation.
It was how quickly I could move from an abandoned concept to a complete product vision, complete with a design system, prototype, branding assets, and supporting materials.
Instead of spending most of my time rebuilding screens, I spent my time evaluating ideas, refining experiences, and making product decisions.
EatSmart started as a collection of old wireframes and evolved into a much more complete product experience.
Check it out
New case study: Industrial IoT platform redesign with AI integration ⚡
Spent 5 weeks redesigning Lumicent’s industrial IoT platform. The headline change: cut alarm resolution from 4 taps to 1.
Started with a design audit that uncovered three UX failures burying the information operators actually needed to act. Mapped 3 personas (Technician, Risk Manager, Site Executive) and rebuilt the alarm, investigation, and home flows around how they actually make decisions under pressure.
AI assistant woven in at the right moments: contextual chat during investigation, daily brief on the home page, remedy suggestions at the point of alarm.
Putting the AI assistant at specific decision points, like remedy suggestions right at the alarm and a daily brief on the home page, feels much more useful than a generic chat box. Cutting alarm resolution from 4 taps to 1 is a strong result for operators working under pressure.
Introducing STANDLAB® — a live exhibition stand configurator built with Base44.
I designed STANDLAB to help teams shape a modular stand, see it in 3D, and understand the estimated cost as they build. You can choose a footprint, customize finishes, add and position modules, and review the bill of materials in one place.
I started with the brand and interface in Figma, then brought the experience to life in Base44, refining the 3D editor, configuration flow, and pricing interactions along the way.