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Trakshym LLP / Edge software engineeringSurat · Remote worldwide
Booking engagements for Q1 2027
Case study · Artificial Intelligence & SaaS

Fotus AI

At weddings and large events photographers shoot 2,000+ photos, and guests wait weeks, then scroll for the 5–10 they appear in. Trakshym built Fotus AI: photographers upload, a facial-recognition engine indexes every face, and guests scan a QR code, take a selfie and see only their photos. Built on Next.js, Python, AWS and MongoDB.

  • Face Recognition
  • Cloud Storage
  • Event Tech
  • UI/UX Design
Last updated
Fotus AI landing page headline “Every Guest. Every Memory. Instantly Found.” over a dimmed event venue
[01] Project Summary

What is the project?

Fotus AI is a revolutionary platform for event photographers and guests. It uses advanced facial recognition to scan thousands of event photos and instantly deliver personalized galleries to guests. No more manual searching through thousands of wedding photos; guests simply upload a selfie and find every memory they are in, instantly.

[02] The Challenge

What problem did it need to solve?

  • Fotus AI is a revolutionary platform for event photographers and guests
  • It uses advanced facial recognition to scan thousands of event photos and instantly deliver personalized galleries to guests
  • No more manual searching through thousands of wedding photos; guests simply upload a selfie and find every memory they are in, instantly
[03] The Solution

What did Trakshym build?

  • Fotus AI is a revolutionary platform for event photographers and guests
  • It uses advanced facial recognition to scan thousands of event photos and instantly deliver personalized galleries to guests
  • No more manual searching through thousands of wedding photos; guests simply upload a selfie and find every memory they are in, instantly
[04] Key Features

What does it do?

  • Fotus AI is a revolutionary platform for event photographers and guests
  • It uses advanced facial recognition to scan thousands of event photos and instantly deliver personalized galleries to guests
  • No more manual searching through thousands of wedding photos; guests simply upload a selfie and find every memory they are in, instantly
[05] Tech stack

What is it built with?

Tech Used

  • Next.js
  • TypeScript
  • Tailwind CSS
  • Python (AI Core)
  • AWS
  • MongoDB

Platform

  • Web App
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