✨ Welcome to Rajwadi Poshak! 👗✨

Demo • Report Bug • Request Feature

🛍️ Your Premier Destination for Elegant Ethnic & Traditional Wear 🎀

Rajwadi Poshak brings the richness of Indian traditional wear to the digital age. Our platform combines centuries-old craftsmanship with modern e-commerce convenience, offering an extensive collection of premium ethnic wear. From handcrafted kurtas to designer silk suits, we bring elegance to your doorstep. 🪡

📦 Version Information

{
  "name": "rajwadi-poshak",
  "version": "0.1.0",
  "engines": {
    "node": ">=18.0.0",
    "npm": ">=9.0.0"
  },
  "core": {
    "next": "13.5.1",
    "react": "18.2.0",
    "typescript": "5.2.2",
    "tailwindcss": "3.3.3",
    "framer-motion": "11.18.0",
    "mongoose": "8.9.3"
  }
}

📱 Screenshots & Features Showcase

🏠 Homepage

Dynamic homepage with smooth animations and featured collections

👗 Product Showcase

Interactive product gallery with zoom functionality

Detailed product view with size charts and fabric information

🛒 Shopping Experience

Intuitive shopping cart with real-time updates

Final Order

🤖 Product Compare

Smart product recommendations powered by AI

Smart product recommendations powered by AI

📱 Mobile View

Responsive mobile homepage with quick navigation

Smooth category browsing experience

Optimized product viewing for mobile devices

👑 Admin Dashboard

Powerful admin controls for inventory and order management

Admin side show all orders

Admin side show users

✨ Key Features

🛍️ Shopping Experience

• 🔍 Advanced search with filters
• 👗 360° product views
• 💫 Smooth animations powered by Framer Motion
• 🎯 Size recommendation system
• 💝 Gift wrapping options

🤖 AI Integration

• 📱 Visual search capability
• 🎨 Style matching algorithm
• 👗 Virtual try-on (Coming Soon)
• 🔄 Dynamic pricing optimization
• 📊 Trend analysis

👤 User Features

• 🔐 Secure authentication
• 💝 Wishlist management
• 📦 Order tracking
• 💳 Multiple payment options
• 📱 Mobile app-like experience

👑 Admin Features

• 📊 Analytics dashboard
• 📦 Inventory management
• 🚚 Order processing
• 👥 Customer management
• 💰 Sales reporting

🛠️ Technology Stack

🎨 Frontend:

• ⚡ Next.js 14 with App Router
• 📝 TypeScript for robust type safety
• 🎨 Tailwind CSS for adaptive styling
• 💫 Framer Motion for fluid animations
• 🎭 Custom animation hooks
• 📱 Progressive Web App (PWA) support

🔧 Backend:

• 🚀 Next.js API routes
• 🔒 JWT with refresh tokens
• 📊 MongoDB with aggregation pipeline
• 🔄 Real-time updates
• 📦 Serverless functions

🤖 AI Backend:

• 🐍 Python 3.11+
• 🌶️ Flask RESTful
• 🧠 TensorFlow for recommendations
• 📊 Pandas for data processing
• 🔄 Redis for caching

⚙️ Additional Tools:

• ☁️ Vercel Edge Functions
• 📊 Google Analytics 4
• 🔄 GitHub Actions
• 📝 Swagger API docs
• 🔍 SEO optimization

🎨 Animation Features

Our website leverages Framer Motion to create a premium shopping experience:

• 🔄 Smooth page transitions
• 💫 Product card hover effects
• 📱 Mobile gesture controls
• 🎭 Loading state animations
• 👆 Interactive UI elements

🚀 Installation & Setup

📋 Prerequisites

Node.js >= 18.0.0
MongoDB >= 6.0
Python >= 3.11 (for AI server)

🔧 Development Setup

# Clone the repository
git clone https://github.com/yourusername/rajwadi-poshak.git
cd rajwadi-poshak

# Install dependencies
npm install

# Setup environment variables
cp .env.example .env

# Run development server
npm run dev

# For AI server (in separate terminal)
cd ai-server
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows
pip install -r requirements.txt
python app.py

🧠 AI server setup

# change the current directory to "backend"
cd backend

# installing required dependancy
pip install -r requirements.txt

# start the server on port 5000
python webapp.py

Note: Custom AI Model Training

If you wish to train the AI model with your own dataset, please follow these steps:

1. Prepare Your Dataset:

   • Navigate to the dataset folder.
   • Add your images to this folder.

2. Train the Model:

   • Open the aimodel.ipynb notebook.
   • Run all cells to train the model.
   • You may rename the generated .pkl files as needed.

3. Update the Server Configuration:

   • Modify the file paths for your .pkl files in webapp.py to match your new filenames.

4. Restart the AI Server:

   • Run the command:

     python webapp.py

This will deploy your custom-trained AI model. Enjoy tailoring your AI experience!

📈 Performance Metrics

⚡ Core Web Vitals

• LCP: 1.2s
• FID: 100ms
• CLS: 0.1
• TTI: 1.8s

🔍 SEO Performance

• Mobile-friendly score: 100/100
• SEO score: 98/100
• Accessibility: 100/100
• Best practices: 95/100

🌐 Live Deployment

• 🚀 Main Site: Rajwadi Poshak
• 📱 PWA: Available on all major platforms

🔜 Upcoming Features

• 👗 Virtual Try-On
• 🎤 Voice Search
• 💬 AI Chatbot Assistant
• 📱 Native Mobile Apps
• 🌍 Multi-language Support

📞 Contact Us

🤝 Customer Support

• 📧 Email:
  • Support: support@rajwadiposhak.com
  • Business: hemang9705@gmail.com
  • Technical: jayvegad10@gmail.com
• 📱 Phone:
  • Customer Care: +91 9016482643
  • Business Inquiries: +91 8849251028
• 💬 Live Chat: Available 24/7 on our website

🤝 Business Inquiries

• 📧 business@rajwadiposhak.com
• 📱 +91 9016482643

📜 License

This project is licensed under the MIT License. See LICENSE for details.

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

📋 Development Process

1. Fork the repository
2. Create feature branch
3. Commit changes
4. Create Pull Request
5. Wait for review

🙏 Acknowledgments

• 🎨 Design inspiration from traditional Indian fashion
• 🤝 Open source community
• 👥 Our amazing contributors
• 🏆 Featured on Product Hunt

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👗 Elevating Traditional Fashion with Modern Technology ✨