AI, Generative Media, Product Design
AI Selfie
AI selfie experience for events: +25% user engagement, rapid deployment, high viral social reach. End-to-end project ownership: from UX/UI architecture to backend AI filter configuration, social output, and iterations based on real-world tests. Fully tailored in less than 72 hours.
AI selfie experience for events: +45% user engagement, rapid deployment, high viral social reach. End-to-end project ownership: from UX/UI architecture to backend AI filter configuration, social output, and iterations based on real-world tests. Fully tailored in less than 72 hours.
The Challenge and Objectives
The Problem
Photo experiences at events often lack originality and virality, resulting in low social sharing rates. Brands need a modular, customizable, low-friction solution that transforms a selfie into branded, social-ready content without relying on fixed hardware.
Phygital Experience
Create a seamless flow between physical capture and shareable digital output.
Multi‑Format Scalability
Function on kiosks, mobile QR codes, and interactive displays with a single backend.
Maximum Customization
Total control over AI filters, frames, and CTAs to align with every brand campaign.
Management Backend
Web CMS for real-time configuration and engagement analytics.
Engagement and Virality
Incentivize social sharing to amplify event and brand visibility.
User Flow
The user flow guides from the shot (mobile phone, kiosk, or display) to sharing in a few taps, maintaining a smooth and branded experience.
Process and Visual Solution
Design of a modular platform with a touch/mobile-first frontend and a web backend for managing AI filters, frames, and outputs (download, email, social, print).
The solution integrates:
• Multi‑channel flow: selfie via QR code (mobile), self-service kiosk, or guided display.
• Real-time AI filters with previews and branded selection.
• CMS backend for admins: content configuration, event metrics monitoring.
Iterated through real testing to minimize friction and maximize completions.
Design Insights
Design Process
Initial brief, effort analysis, user flow ideation and information architecture, low-fidelity wireframes, high-fidelity Figma prototypes, iterations with physical/digital testing, layout and AI filter optimization, CMS finalization with live trials.
Strategic Choices
Touch/mobile-first with clear buttons, real-time previews for instant feedback, simplified sharing flow (social pre-loading), modular design for variable formats (vertical/horizontal).
Visual Identity and Design System
Minimal modular design, brandable palette, scalable fonts, reusable Figma components for cross-format consistency, emphasis on generated images without overloading the interface.
Conclusions & Key Takeaways
Key findings
Real-time AI filters and social output increase flow completion by 25%. Modularity (mobile/kiosk/display) reduces deployment times by 70%. Brand customization is the key to virality.
Key Takeaways
• Full project owner approach, concrete metrics (+25% engagement).
• Scalable phygital design for hybrid events, iterated UX for universal usability.
• CMS backend for autonomous management, direct commercial impact via social reach.
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