AI Photography Face Recognition Platform

Built an AI-powered event photo sharing platform that completely reimagines how people discover their memories after large events. Instead of forcing guests to scroll through thousands of photos or wait days for curated albums, the product delivers a simple experience, upload a selfie and instantly receive only the photos you appear in.

The platform was designed for weddings, corporate events, concerts, and large gatherings where photographers capture massive volumes of images, but post-event delivery becomes slow and chaotic. The product solves this with AI-driven facial recognition that automatically identifies guests across thousands of photos and builds private, personalized galleries for each individual.

I developed a full dual-sided system: a photographer dashboard for bulk uploads and event management, and a guest-facing mobile experience where users can access their photos instantly via a QR code, no login or manual tagging required.

A major challenge was ensuring facial recognition works reliably in real-world event conditions like crowd scenes, different lighting, motion blur, and partial faces. The system was tuned specifically for event photography workflows and achieved 99.1% accuracy in production environments.

The focus was on speed, privacy, and simplicity, guests only see their own photos, and photographers can process thousands of images without any manual sorting.

Built using AI face recognition models, mobile development (iOS & Android), cloud infrastructure, and real-time image processing systems.