🏆 Recollected Treasures TX

An AI-powered collectibles management platform designed to streamline the organization, authentication, and presentation of vintage and rare collectibles.

✨ Key Features

🤖 AI-Powered Tools

• Smart Categorization - Automatic item identification and sorting
• Image Enhancement - Professional photo cleanup and optimization
• Description Generation - Detailed, accurate product descriptions
• Authentication Assist - AI-powered authenticity verification
• Batch Processing - Handle hundreds of items simultaneously

📦 Supported Collections

• Vintage Books & Comics
• Trading Cards (Pokemon, MTG, Sports)
• Star Wars Memorabilia
• Fast Food Collectibles
• Classic Gaming (Atari, etc.)
• Coca-Cola Items
• Photography Equipment
• Stamps & Ephemera

🚀 Quick Start

Prerequisites

• Node.js 18+
• npm/pnpm
• SQLite (development) or PostgreSQL (production)

Setup

1. Clone & Install

   git clone https://github.com/940smiley/RecollectedTreasuresTX.git
   cd RecollectedTreasuresTX
   npm install
   

2. Environment Setup

   cp .env.example .env.local
   

   See SETUP.md for detailed configuration options.

3. Database Setup

   npm run db:generate
   npm run db:push
   

4. Start Development Server

   npm run dev
   

   Visit http://localhost:3000

🛠️ Tech Stack

• Framework: Next.js 14, React 18
• Language: TypeScript
• Styling: Tailwind CSS, shadcn/ui
• Database: Prisma with SQLite/PostgreSQL
• AI Services:
  • OpenAI GPT-4 Vision
  • Google Cloud Vision
  • Cloudinary AI

📁 Project Structure

app/                # Next.js app router pages
├── api/           # API routes
├── browse/        # Collection browsing
├── management/    # Admin interface
└── upload/        # Item upload system
components/
├── admin/         # Admin components
├── store/         # Store components
├── ui/            # Shared UI components
└── upload/        # Upload components
lib/               # Utilities & config
prisma/            # Database schema

🎯 Core Features

Upload & Processing

• Drag-and-drop batch uploads
• AI-powered image enhancement
• Automatic categorization
• Smart description generation

Collection Management

• Detailed item tracking
• Condition monitoring
• Authentication records
• Inventory insights

Browse & Search

• Category-based navigation
• Advanced filtering
• Smart search capabilities
• Featured items showcase

🔒 Security

• Input validation & sanitization
• Role-based access control
• Rate limiting & DOS protection
• Secure image processing

See SECURITY.md for details.

🚀 Deployment

Detailed deployment instructions available in DEPLOYMENT.md.

Recommended platforms:

• Vercel (Frontend)
• Railway (Database)
• Cloudinary (Image Storage)

🤝 Contributing

Contributions welcome! Please read our contributing guidelines before submitting PRs.

📝 License

MIT License

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Built with ❤️ for collectors and enthusiasts

Built With

• css
• javascript
• typescript