Velmora

Fashion

Next.js

Virtual Try-On

Describe the outfit you want from top brands — Velmora finds the pieces and lets you virtually try them on.

About this project

Velmora is an AI-powered fashion platform that lets users describe their desired outfit. It searches brands like Zara, H&M, and Pull & Bear to build the look, and provides a virtual try-on experience using FASHN AI.

Tech Stack

Next.js

React

Tailwind CSS

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Continue through related AI, backend, integration, platform, and custom web application work.

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FAQ

Clear answers before we build.

Short answers to the questions that usually come up before a project starts.

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Most businesses should begin with one clear, repeatable workflow. We add AI or agent behavior only when changing decisions or tool use creates measurable value.

Common starting points include lead intake, support triage, document processing, recurring reporting, CRM updates, notifications, and moving verified data between tools.

AI automation is the priority offer, supported by custom websites, web applications, mobile applications, NestJS and Node.js APIs, databases, queues, integrations, and real-time systems.

The discovery process identifies what can be connected through existing APIs, automation tools, or a small custom service before recommending a larger rebuild.

Production workflows need validation, permissions, logs, retries, monitoring, and human review for uncertain or high-impact decisions—not only a model call.

Bring one repetitive process or software idea. We will identify the bottleneck and decide whether the next step is no change, simple automation, a controlled AI workflow, or custom software.