Full-Scope Product Build — Case Study

The Right Photos, Automatically Find the Right People

An event photography platform partnered with 10Decoders to solve a problem every attendee knows: thousands of event photos, and no easy way to find your own. We built an AI-powered facial recognition platform that automatically matches every photo to the people in it — delivering a personalized gallery to each attendee without a single search.

Facial Recognition AIAutomated Photo MatchingMobile-FirstBuilt to Scale
Client
An event photography platform
Domain
Computer Vision · Facial Recognition
Model
Full-Scope Product Build
Disciplines
AI/ML · Mobile · Cloud · Full-Stack
Overview

Thousands of Photos, One Impossible Question

Every memorable event — a corporate conference, a wedding, a festival, a marathon — leaves behind thousands of photographs. Once the event ends, attendees face the same frustrating task: scrolling through endless galleries hoping to spot themselves, while organizers and photographers field the same request over and over — “Can you share my photos?”

The client wanted to remove that friction entirely. We partnered with them to design and build an AI-powered facial recognition platform, spanning web, iOS, and Android, that automatically connects every attendee with the exact photos they appear in — no searching required.

Under the Hood

Built for Accuracy, Consent, and Scale

AI Core

Facial Recognition Engine

Detects and matches faces automatically across an entire event's photo archive.

Enrollment

Selfie-Based Registration

Attendees enroll with a selfie and explicit consent before the event even begins.

Cloud

AWS-Native Processing

Elastic infrastructure handles photo batches of any size without re-architecture.

Automation

Gallery Generation

Personalized albums are assembled automatically the moment matching completes.

Mobile

Native iOS & Android Apps

Cross-platform apps for registration, notifications, and gallery access.

Operations

Admin Portal

Organizers manage events, uploads, and participant data from one dashboard.

“Can you share my photos?” — became a question no one had to ask anymore.

The Challenge

  • ×Thousands of photos, no realistic way for attendees to find themselves
  • ×Organizers fielded repeated one-off photo requests long after events ended
  • ×Photographers couldn't change equipment or workflow to enable this
  • ×Had to work at wildly different scales — a small meetup to a festival
  • ×Facial recognition required explicit consent and secure biometric handling

Our Approach

  • Built an AI pipeline that automatically matches every photo to attendees
  • Automated gallery delivery removes organizers from the support loop
  • Kept the photographer's workflow untouched — upload, and it's automatic
  • Designed matching on elastic cloud infrastructure to scale on demand
  • Built consent and secure facial-template generation into onboarding
The Approach

The Solution

The experience begins before the event ever starts. Attendees register through a mobile app by capturing a selfie and giving explicit consent for facial recognition. Behind the scenes, the platform securely generates a facial template used later for matching — nothing else changes for anyone on the ground.

During the event, photographers work exactly as they always have — no special cameras, no new equipment. Once it's over, they simply upload the photos. The AI takes it from there: every face is detected, matched against registered attendees, and grouped into a personalized gallery within minutes. Attendees get a notification the moment theirs is ready.

1Selfie-based registration & consent capture
2Automated face detection & matching across the full event archive
3 Personalized gallery generation per attendee
4 Instant push notification the moment a gallery is ready
How It Works

From Upload to Personalized Gallery

Input

Selfies & Event Photo Archive

Attendees enroll with a selfie; photographers upload the full event archive exactly as they always have.

AI Core

Facial Detection & Matching

Every photo is scanned, faces extracted, and matched against each registered attendee's facial template.

Output

Galleries & Notifications

Matched photos are assembled into individual galleries, and attendees are notified the instant theirs is ready.

Why It Works

Designed Around Real Events, Not Demos

Workflow

No New Equipment

Photographers keep their existing cameras and shooting workflow, unchanged.

Zero DisruptionWorkflow-Preserving
Trust

Consent-First Enrollment

Biometric data is captured and stored only with explicit attendee opt-in.

Privacy-FirstConsent-Based
Infrastructure

Elastic by Design

Processing scales from a small meetup to a multi-day festival without re-architecture.

AWSAuto-Scaling
Automation

End-to-End Automation

From face detection to notification — no manual step in between.

AutomatedAI-Driven
Reach

Cross-Platform Access

Native iOS and Android apps plus web portals meet attendees where they are.

Mobile-FirstMulti-Platform
Flexibility

Built for Any Event

Conferences, weddings, marathons, and festivals all run on the same platform.

FlexibleReusable
What We Built

Four Products, One Platform

1

Participant Web App

Selfie-based registration, consent capture, and gallery access for attendees.

2

Admin Portal

Event setup, photo upload management, and participant oversight for organizers.

3

iOS Mobile App

Native registration, gallery access, and notifications for iPhone users.

4

Android Mobile App

Native registration, gallery access, and notifications for Android users.

The Shift

What Changed

01

Searching became discovering

Attendees instantly receive a curated gallery of their own moments, instead of browsing thousands of photos.

02

Repetitive requests disappeared

Organizers stopped fielding one-off “can you share my photo” requests weeks after every event.

03

Photographer workflows stayed untouched

No new cameras, no new steps — upload the photos, and the platform does the rest.

04

AI handled the heavy lifting

Face detection, recognition, grouping, and notifications run automatically end to end.

05

Organizers delivered a premium experience

Photo distribution became an intelligent, automated part of the event, not a manual afterthought.

06

Built to scale with the event

The same platform handles a few hundred photos or several hundred thousand without missing a beat.

Delivery, Cost & IP

How We Delivered It

Delivery

  • Delivered simultaneously across web, iOS, and Android
  • Photographer workflow required zero retraining or new equipment
  • Production launch handled end to end by 10Decoders

IP & Reusability

  • Built entirely on standard, managed AWS services — no proprietary lock-in
  • No patent filings from this engagement
  • Delivered as a dedicated production product for this client's use
The Outcome

Impact Across Every Role

Attendees

Their Best Moments, Delivered

No more scrolling through thousands of photos — attendees open the app to a gallery that's already theirs.

Organizers

A Premium Experience, Zero Extra Effort

Photo distribution became automatic, eliminating repeat requests and boosting post-event engagement.

Photographers

Same Workflow, Bigger Impact

Nothing changed on their end — they shoot and upload exactly as before, and the platform handles the rest.

Talk to our CTO

Start with a thirty-minute conversation.

No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Who you'll talk to
Thomas, CTO at 10decoders

Thomas

Chief Technology Officer

Connect on LinkedIn

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.

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