https://github.com/fazliddin-pro/django.big_mebel_store
The Ultimate Django E-Commerce Solution 🚀
https://github.com/fazliddin-pro/django.big_mebel_store
css django html ipython js postgresql python
Last synced: 21 days ago
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The Ultimate Django E-Commerce Solution 🚀
- Host: GitHub
- URL: https://github.com/fazliddin-pro/django.big_mebel_store
- Owner: Fazliddin-pro
- Created: 2024-12-07T13:05:29.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-03-18T07:52:42.000Z (about 1 month ago)
- Last Synced: 2025-04-07T06:43:43.406Z (21 days ago)
- Topics: css, django, html, ipython, js, postgresql, python
- Language: Python
- Homepage:
- Size: 3.13 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Call Helper - The Ultimate Django E-Commerce Solution 🚀
Call Helper is a **large-scale Django project** designed to provide a robust and scalable e-commerce platform. With its modular structure and advanced features, this project lays a strong foundation for building modern web applications.
## 🔥 Key Features:
- **Main App:** Home (`index`) & About Us (`about-us`) pages with a clean UI.
- **Goods App:** Fully functional product management with `Categories` & `Products` tables.
- **Users App:** Custom authentication system with an extended user model.
- **Carts App:** A dynamic shopping cart system for seamless user experience.
- **Orders App:** End-to-end order processing for smooth transactions.
## 🛠️ Tech Stack:
- **Python** – Core programming language.
- **IPython & Bash** – For development and debugging.
- **Django & Django-Debug-Toolbar** – Backend framework & performance optimization.
- **HTML, CSS, JavaScript** – For a modern and responsive frontend.
- **PostgreSQL** – High-performance relational database.
- **Full-text search with Machine Learning** – Advanced product search and recommendations.
## 🚀 Future Enhancements:
- **API Integration** for mobile and external services.
- **Admin Dashboard** for better product and order management.
- **Real-time Notifications** using WebSockets.
- **AI-driven Recommendation System** to enhance user experience.
This project is an ongoing development, constantly evolving with new features and improvements. Stay tuned for updates! 💡