Muktsar · January 2026
Avleen & Sharan
"Face-search gallery. 600 guests, 14,000 photos, zero confusion."

The flagship photo site. 600 guests, four photographers, 14,000 photos across three days. The brief: every guest should find every photo they’re in within seconds. No scrolling through 14,000 thumbnails. No “which gallery again?”.
The pipeline:
- Photos upload to a private folder on the couple’s Google Drive
- A Python pipeline detects faces, clusters by identity, and writes face-cluster metadata to a Google Sheet
- The frontend reads the sheet at runtime and lets guests tap a face to find their own photos
- Video files get auto-thumbnails
The site is gated by passphrase, only invited guests get in. For this case study, we’ve embedded a video walk-through rather than a live link.

