R
RELNOV

New Reliability

KlickStock
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KlickStock

Client
KlickStock
Role
Full Stack Architect
Timeline
2 Months
Live Link
https://klickstock2.vercel.app/
The Problem

The Challenge

Managing thousands of high-resolution images typically requires hours of manual tagging and metadata entry. Without proper organization, these assets become difficult to search and manage, leading to operational bottlenecks.

Our Approach

The Solution

We engineered a fully automated media pipeline using Next.js and Gemini AI. Upon upload, images are processed in real-time, with AI-generated metadata stored in a NeonDB PostgreSQL database. This allows for instant, intelligent searching and categorizing, all hosted on Vercel for maximum global performance.

Next.jsServer ActionsGemini AIAWS S3NeonDB

Modern Architecture

Built on a cutting-edge technology stack to ensure absolute scalability, maintainability, and a seamless developer experience.

Peak Performance

Relentlessly optimized to achieve near-perfect Lighthouse metrics, instant load times, and an incredibly smooth user interface.

Responsive Design

Meticulously crafted to provide a flawless, native-feeling experience across all screen sizes, from mobile devices to massive desktop displays.

The Impact

Performance that drives retention.

AI
Metadata
S3
Storage
Neon
DB

End of Case Study

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