We built an intelligent platform that automates photo sorting, organisation, and delivery for event photographers — eliminating hours of manual work through facial recognition AI.
Project delivered under NDA. Details have been generalised.
A production-ready AI SaaS platform that transforms how event photographers handle thousands of post-event images — from days of work to minutes of processing.
Event photography generates massive volumes of images that need to be sorted, organised, and delivered quickly. The traditional workflow made it impossible to scale.
Scans every uploaded image and detects all faces present — regardless of lighting conditions, angles, or partial occlusions in the frame.
Extracts unique facial feature vectors from each detected face using deep learning models trained for accuracy at scale.
Similar feature vectors are matched and clustered, accurately identifying the same individual across thousands of photos in the dataset.
All photos of each identified individual are grouped and delivered through a secure, private gallery — zero manual sorting required.
Every feature was designed around real photographer workflows and real attendee expectations — not a generic tech template.
Duration: 10–14 weeks from discovery to production launch.
Team: AI engineer, backend developers, frontend developers, and UI/UX designer working in close collaboration throughout every phase.
The delivery followed a structured phase approach that ensured each layer of the system — from AI model integration to end-user experience — was built with precision and tested thoroughly before going live.
We help turn AI ideas into scalable, production-ready systems.
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