AI Fashion Studio

A complete, production-ready AI-powered fashion SaaS platform built with React, TypeScript, Tailwind CSS, and Supabase.

What's Included

• 6 AI-powered fashion tools (Clothes Changer, Outfit Generator, Background Changer, Fashion Photoshoot, Image Generator, Object Remover)
• Full admin dashboard with user management, analytics, and content management
• Subscription billing system with plan management
• Promo code & redemption system
• Watermark settings for generated images
• User authentication (signup, login, forgot/reset password)
• Generation history tracking
• Demo mode for showcasing features
• Responsive design with dark/light theme toggle
• Beautiful landing page with hero, features, pricing, testimonials, FAQ & CTA sections

Tech Stack

• React 18 + TypeScript
• Vite (blazing fast builds)
• Tailwind CSS + shadcn/ui components
• Supabase (Auth, Database, Edge Functions, Storage)
• React Query for data fetching
• Framer Motion animations
• React Router v6
• Zod validation + React Hook Form

• 6 AI Fashion Tools with before/after comparison slider
• Admin Panel with full CRUD operations
• Role-based access control (Admin, Moderator, User, Owner)
• Subscription & Plan Management
• Promo Code System with usage tracking
• Generation History with status tracking
• Watermark System for output images
• AI Settings Management
• Stripe-ready billing integration
• Content Management System (tool-aware)
• Analytics Dashboard
• Dark/Light Theme
• Fully Responsive Design
• Lazy-loaded routes for performance
• Row-Level Security (RLS) on all tables

• Node.js 18+ and npm
• Supabase account (free tier works)
• Modern web browser
• Optional but Mandatory to take money: Stripe account for payment processing
• Mandatory: AI API key for image generation

1. Unzip the downloaded file
2. Run npm install to install dependencies
3. Create a Supabase project and copy the URL and anon key
4. Create a .env file with your Supabase credentials
5. Run the SQL migrations in the supabase/migrations folder
6. Run npm run dev to start the development server
7. Visit http://localhost:5173
8. See the included documentation for detailed setup guide