Projects using Claude in City of Melbourne

Projects using Claude in City of MelbourneProjects using Claude in City of Melbourne

Cover image for Swipe right on your next

Swipe right on your next meal. New Framer component: a Tinder-style swipe mechanic but for built for food. The idea is simple. You're hungry, you don't know what you want, and scrolling a menu feels like homework. So instead — swipe. Like it, skip it, find your next meal in seconds. Built this as an interactive hero section to stress test the component and honestly, it's one of the most satisfying things I've made. The interaction feels fun, the animation is smooth, and the concept practically sells itself. No food app yet (if you're also interested hmu 😅). Framer components are too fun, more experiments to come!

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Cover image for M.Booth turns two people's photos,

M.Booth turns two people's photos, taken apart, into one photobooth strip, as if they were taken together. It's built for long-distance couples who miss the small physical proof of a shared moment, the strip from a random Tuesday, not just the big anniversary photo. The core mechanic: one partner shoots first, the second partner joins via a link and poses against a live overlay of the first photo so the two line up naturally. Three snaps each, composited into a Korean-style photobooth strip, in a warm 90s-film style. - Started with Claude to create prompt - Generated design in Flowstep - Connected to Claude Code - Created an MVP web app : https://mbooth-nine.vercel.app/ (just the core mechanic of taking 1 photo asynchronously) - Created images in illustrator, gen AI - Refined, refined, refined in Flowstep and Figma https://app.flowstep.ai/file?activeFileId=932d9289-665b-41c8-a914-d8c0f5be037a

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Cover image for Knowunity: Designing for a voice-powered active recall

Knowunity: Designing for a voice-powered active recall

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Cover image for Project Title: AI-Driven Sales Intelligence

Project Title: AI-Driven Sales Intelligence & Workflow Automation The Business Challenge: Manual lead qualification and inconsistent follow-up processes created massive operational bottlenecks, leading to lost conversion opportunities and stalled revenue growth. The Architectural Solution: I architected a closed-loop automation framework to standardize the sales lifecycle. This solution features: Real-time Intelligence: An AI-processing layer that dynamically extracts customer data and matches insurance policy profiles during live interactions. Automated Conversion Pathways: A logic-driven branching model that differentiates between "Ready to Buy" signals and "Needs Time" triggers, ensuring zero lost leads through automated callbacks and personalized SMS sequences. Systemic Optimization: A feedback loop that feeds interaction data back into the performance analytics engine to continuously refine recommendation accuracy and time efficiency. The Impact: Transformed fragmented sales interactions into a high-visibility, data-backed system, directly improving lead recovery rates and operational throughput.

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Cover image for VinylDeals.io – AI-assisted product prototype

VinylDeals.io – AI-assisted product prototype

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