Apparel Design Platform MVP -- 2 need Web Development

Contact person: Apparel Design Platform MVP -- 2

Phone:Show

Email:Show

Location: Kharkiv, Thailand

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"## Task
Launch an online platform for generating visual content for clothing.
We need a technical specialist who can fully handle the implementation of the project — from architecture to a working MVP with a personal account, coin system, and payment for selected results.

## Project Concept
A service for clothing retailers, fashion brands, and marketplace sellers.
The user uploads a product photo → the system (we provide a ready AI model) generates several visual options → previews are displayed → the client selects the preferred ones and pays only for the chosen images or videos, receiving them in high resolution.

## Main Responsibilities

1. Backend & Architecture
- Cloud hosting with GPU instances, secure storage of uploaded photos.
- Queue management for image generation and temporary storage of previews.

2. Frontend / Personal Account
- Registration, authentication, personal account with order history.
- Interface for uploading photos and displaying previews of generated options.
- Option to select desired images and pay only for chosen results.

3. Monetization & Payments
- Internal currency/coin system with top-ups (Stripe/PayPal/cryptocurrency — to be discussed).
- Automatic deduction of coins only for the results selected by the user.

4. AI Model Integration
- Connect the provided AI model via API.
- Optimize generation speed and preview delivery.

5. Testing & Documentation
- Full testing cycle (load, UX, security).
- Prepare documentation for further operation and support.

## Requirements
- Experience in web platform development (Python/Django or Node.js/Next.js + React/Vue).
- Skills in payment system integration and working with virtual currencies.
- Knowledge of cloud solutions (AWS/GCP/Azure) and GPU instance setup.
- Experience integrating and scaling AI/ML services." (client-provided description)


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