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OmniPriceX is an AI-powered dynamic pricing system built with Django. It leverages machine learning, real-time data analysis, and automation to optimize pricing strategies. Designed for scalability, accuracy, and efficiency, it helps businesses maximize revenue through intelligent price adjustments.

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OmniPriceX

OmniPriceX is an AI-powered dynamic pricing system built with Django and React. It leverages machine learning, real-time data analysis, and automation to optimize pricing strategies. Designed for scalability, accuracy, and efficiency, it helps businesses maximize revenue through intelligent price adjustments.

Project Structure

OmniPriceX
├── backend
│   ├── omnipricex
│   │   ├── __init__.py
│   │   ├── settings.py
│   │   ├── urls.py
│   │   └── wsgi.py
│   ├── manage.py
│   └── requirements.txt
├── frontend
│   ├── public
│   │   ├── index.html
│   └── src
│       ├── App.js
│       ├── index.js
│       └── components
│           └── ExampleComponent.js
├── package.json
└── .gitignore

Installation

Backend

  1. Navigate to the backend directory.
  2. Install the required packages:
    pip install -r requirements.txt
    
  3. Run the Django server:
    python manage.py runserver
    

Frontend

  1. Navigate to the frontend directory.
  2. Install the required npm packages:
    npm install
    
  3. Start the React application:
    npm start
    

Features

  • Dynamic pricing adjustments based on real-time data.
  • Scalable architecture to handle varying loads.
  • Machine learning algorithms for price optimization.

Contributing

Contributions are welcome! Please submit a pull request or open an issue for any enhancements or bug fixes.

License

This project is licensed under the MIT License.

About

OmniPriceX is an AI-powered dynamic pricing system built with Django. It leverages machine learning, real-time data analysis, and automation to optimize pricing strategies. Designed for scalability, accuracy, and efficiency, it helps businesses maximize revenue through intelligent price adjustments.

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