Discover how KBA Systems engineered a React + Node.js platform that uses AI facial recognition and CDN-powered delivery to match event attendees with their photos instantly — turning a frustrating manual search into a one-selfie discovery experience and a scalable marketplace for photographers.
Event photography has always had a discovery problem. Photographers shoot thousands of images at weddings, concerts, conferences, and sporting events — but attendees spend hours scrolling galleries trying to find the handful of shots they are in. Most give up, and many photos go unseen and unsold.
We built a full-stack AI platform where attendees upload one selfie, the AI engine scans the entire event library, and only the images featuring that person are surfaced in seconds — with a CDN handling global image delivery and secure payment completing the purchase flow end-to-end.
A live marketplace with a customer-facing website and a photographer/organiser admin panel — instant selfie-to-match discovery, CDN-backed thumbnails and previews, and automated Stripe checkout with zero manual fulfilment.
AI Face Match — Instant Photo Discovery
CDN-Powered, Global
2 (Customer Site + Admin)
Secure Stripe Checkout
Fully Automated Digital Delivery
10+ months
Event photography is a massive, growing industry — weddings, corporate events, festivals, marathons, sporting events, graduations, and conferences worldwide. Yet the fundamental experience of finding your own photos after an event has remained unchanged for decades: scroll, search, hope.
Attendees face galleries of thousands of photos. Finding the ones they appear in takes hours of scrolling — and most give up before completing a purchase.
When discovery is difficult, purchase rates drop sharply. Photographers shoot full events but convert only a fraction of available sales.
Existing platforms filter only by time, location, or camera position — not by the person in the photo. Individual-level discovery is impossible without AI.
High-resolution libraries served without a CDN load slowly — degrading the browsing experience and further reducing conversion, especially for global events.
Photographers currently deliver via email links, USB drives, Dropbox folders, and third-party platforms — with no unified sales, fulfilment, and analytics workflow.
The vertical lacks a platform-native marketplace where photographers can upload once and sell to unlimited attendees without manual per-customer fulfilment.
Building a consumer-facing AI photo discovery platform required solving hard problems across computer-vision integration, high-volume image processing, CDN architecture, and a seamless purchase flow — all within a React + Node.js full-stack architecture.
Integrating an AI face-matching engine capable of processing a user's selfie against potentially thousands of high-resolution event photos with enough accuracy and speed to feel instant — without false positives that undermine trust.
Event libraries can contain thousands of high-resolution images. Designing a CDN-backed storage and delivery architecture that serves images fast globally, handles peak launch traffic, and keeps bandwidth costs manageable as the platform scales.
Designing the customer-facing matching experience to feel effortless — capture or upload a selfie, trigger the AI match, present only matched photos — in a flow requiring zero technical understanding from a first-time event attendee.
Implementing a secure end-to-end purchase flow — from photo selection to payment to digital delivery — handling individual purchases, bundles, and download fulfilment without any manual intervention from the photographer.
The admin panel needed to support multiple photographers and events simultaneously — each with their own libraries, pricing, sales data, and customer records — within a single platform with clear data separation.
Event photo releases generate concentrated bursts of traffic as all attendees visit within hours. The architecture needed to handle these spikes gracefully without degraded performance or failed purchases at peak moments.
We designed around a single insight: the customer's journey must be as simple as taking a selfie. Everything else — AI processing, CDN delivery, payment handling, admin management — is infrastructure serving that one moment of instant, personalised discovery.
The entire customer experience is designed backwards from the selfie upload moment. The landing page, onboarding, and event selection all funnel toward one action: submit your face, get your photos. We minimised every step between a new visitor and their first matched result to maximise conversion.
We integrated a purpose-built AI facial recognition service via API — handling face detection, facial-geometry encoding, and similarity scoring against the event library. The Node.js backend orchestrates the pipeline: receive the selfie, trigger the AI service, receive matched references, and return only the relevant photos to the React frontend in real time.
All uploaded images are processed and stored via CDN on upload — never served directly from the origin to end users. This ensures fast load times regardless of library size, location, or traffic volume. Thumbnails are generated automatically for browsing, with full-resolution served only on purchase confirmation.
We built two distinct React applications sharing a common Node.js API: a consumer-facing site optimised for simplicity and conversion, and a feature-rich admin panel for photographer and organiser power users — letting us optimise each independently without compromise.
The architecture prioritises instant AI discovery, fast global image delivery, and resilience at launch-traffic spikes. A Node.js layer orchestrates the AI pipeline, a CDN fronts every image, and separated React surfaces keep the consumer flow lean while the admin panel stays powerful.
The platform delivers a frictionless discovery-and-purchase experience for attendees, and a complete management surface for photographers and organisers — with AI matching, CDN delivery, and automated fulfilment tying the two together.
The stack pairs a lean React consumer surface with a Node.js orchestration layer, an AI face-matching service, and a CDN-first image pipeline — with Stripe automating every purchase and fulfilment.
From thousands of photos to only yours, in seconds. Attendees upload one selfie and instantly receive a personalised gallery of every photo they appear in — a discovery process that previously took hours, or was abandoned entirely, is completed in under a minute.
Every photo now has a potential buyer, automatically surfaced. AI discovery matches every shot in a library to the relevant attendee — not just the obvious front-row photos — so conversion rates improve because every attendee sees photos they actually appear in.
Zero manual fulfilment — the whole workflow runs from upload to download automatically. No email attachments, no Dropbox links, no per-customer work. Organisers upload once and the platform handles matching, purchasing, and delivery.
Every new event is a new inventory of photos matched to a new group of attendees — each a potential buyer. The marketplace scales with each event added, without proportional overhead, creating compounding growth in both supply and demand.
Timeline depends on scope: an MVP with basic face matching takes 4-6 months, a production-ready marketplace with CDN delivery and payments takes 7-10 months, and a full multi-photographer platform with analytics takes 10-14 months. This platform required AI facial recognition integration, a CDN image pipeline, and a secure checkout flow.
A user uploads a single selfie. The system detects the face, encodes its facial geometry, and scores that encoding for similarity against every image in the event library. Only photos above a configurable confidence threshold are returned — balancing precision and recall so results feel instant without false positives.
All uploaded images are processed and stored via a CDN on upload, never served directly from the origin. Thumbnails are generated automatically for browsing, watermarked previews are shown pre-purchase, and full-resolution files are unlocked only on purchase confirmation — keeping load times fast at any library size.
Event releases generate concentrated bursts as all attendees visit within hours. A CDN-first architecture with edge delivery, cloud object storage as origin, and a stateless Node.js API layer absorbs these spikes gracefully without degraded performance or failed purchases at peak moments.
A Stripe-integrated checkout supports individual photo purchases and bundle pricing. Stripe webhooks confirm payment and trigger automated digital delivery — download links or gallery access — so full-resolution photos are unlocked instantly with zero manual fulfilment from the photographer.
This platform uses React for the customer website and admin panel, Node.js with Express for the API and AI orchestration, an AI facial recognition service for face matching, a CDN with cloud object storage for image delivery, JWT for authentication, and Stripe for payments.
Yes. The admin panel supports multiple photographers and events simultaneously, each with their own image libraries, pricing, sales data, and customer records, with clear data separation — so the marketplace scales with every event added without proportional overhead.
Manual photo search kills conversion because attendees give up scrolling through thousands of images. AI discovery surfaces every relevant photo directly to the person it features — not just the obvious hero shots — so every attendee becomes a qualified buyer and photographers convert far more of their library.
When any attendee can find their photos in seconds by uploading a selfie, the conversion ceiling for event photography disappears. The platform with the best AI discovery and the smoothest purchase flow captures a market that has been severely underserved by technology.
Orchestrating an external AI service, a CDN-first image pipeline, and a Stripe fulfilment flow behind a lean React consumer surface shows how to make a computer-vision product feel instant and effortless at scale.
Upload once, sell to unlimited attendees, deliver automatically — the marketplace model removes all manual fulfilment work and turns every relevant photo into a potential sale.
