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Visual Storytelling Gallery

High-performance cloud image gallery with automated EXIF metadata extraction

Full-Stack ApplicationProduction
Project Overview

What it is

A full-stack visual gallery application with cloud image uploads, automatic metadata extraction, and a responsive grid optimized for visual storytelling.

Who it serves

Photographers, digital artists, and creative teams who need fast, metadata-rich visual archiving and public showcase galleries.

Business value

Eliminates sluggish gallery load times while surfacing rich contextual metadata (EXIF, tags, dimensions) automatically upon upload.

Primary users

Creators uploading high-resolution photography and visitors browsing curated visual collections.

Quick Facts

Category

Full-Stack Application

Role

Full-Stack Developer

Timeline

2 months

Status

Production

Team

Solo

Platform

Web

Industry

Digital Media & Photography

Frontend

Next.js

Business Problem

Most image galleries prioritize eye candy over usability—slow load times, poor metadata display, and clunky navigation frustrate users who want to browse high-resolution visual content efficiently.

Key Features

Responsive Masonry Grid

Adaptive multi-column layout that preserves aspect ratios and visual rhythm across mobile, tablet, and ultra-wide displays.

Automated Metadata Extraction

Extracts and displays rich image context including EXIF camera details, resolution, and categorization tags.

Optimized Next.js Image Pipeline

Automatic WebP/AVIF format negotiation, responsive srcsets, and lazy loading for sub-second browsing.

Supabase Cloud Storage & Backend

Scalable object storage paired with PostgreSQL metadata indexing for reliable media management.

Technology Stack

Frontend

Next.jsTypeScriptTailwind CSS

Backend

Next.js API RoutesSupabase SDK

Database

SupabasePostgreSQL

Infrastructure

VercelSupabase Storage

Tools & Services

GitGitHub
Architecture Preview

Next.js frontend backed by Supabase Storage buckets and PostgreSQL tables for image metadata. Next.js Image Optimization pipeline resizes and caches media at the edge.

Challenges Solved
1

Preventing layout shift (CLS) and bandwidth bottlenecks when rendering dozens of high-resolution photographs.

Combined Next.js responsive image sizing with pre-computed aspect ratio containers and progressive lazy loading.

Results
Fast image loading with optimized Next.js edge image transformations
Rich metadata display enhancing each image's storytelling context
Smooth, responsive masonry grid across all devices
Lessons Learned
1Pairing cloud object storage with structured relational metadata in Supabase makes filtering and gallery curation effortless.
Related Projects

Interested in building something similar?

I am always open to discussing new projects, technical challenges, and engineering opportunities.

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