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Jewellery Shop Management System- Python Django Project

Jewellery Shop Management System- Python Django Project

Original price was: ₹3,000.00.Current price is: ₹2,400.00.

Jewellery Shop Management System using Python, Django, and MySQL Our team has developed a Jewelry Shop Management System using Python and MySQL, with clean and error-free code. This project, built on Python Django MySQL Mini DBMS, is a web-based system for managing stores, jewelry, and sales. It is a great project for those looking to learn and build a simple jewelry shop management system using Python. This project is suitable for 12th-grade CBSE projects that involve MySQL and Python. The Jewelry Shop Management System is developed using the Python Programming Language, along with HTML, CSS, and JavaScript for the web-based functionalities. The main features of this project include managing store records and jewelry, with admin-based controls for stock levels, sales history, and jewelry sales. Users can add, edit, and delete jewelry items, as well as view stock details and prices. The system also allows for jewelry sales, with dynamic calculations for total costs.

Technology Django Projects,Python Projects
Type Mini Project
Database Mysql Database
Cost ₹ 3000
Discounted Price ₹ 2400
Documentation Documentation Charges will be extra
Notes These projects are not suitable of business usecase
Supported OS Widnows
Helpline Numbers +91-8470010001    +91-8470010001

    Request for Project Source Code

    Description

    Description

    Jewellery Shop Management System using Python, Django, and MySQL

    Our team has developed a Jewelry Shop Management System using Python and MySQL, with clean and error-free code. This project, built on Python Django MySQL Mini DBMS, is a web-based system for managing stores, jewelry, and sales. It is a great project for those looking to learn and build a simple jewelry shop management system using Python. This project is suitable for 12th-grade CBSE projects that involve MySQL and Python. The Jewelry Shop Management System is developed using the Python Programming Language, along with HTML, CSS, and JavaScript for the web-based functionalities.

    The main features of this project include managing store records and jewelry, with admin-based controls for stock levels, sales history, and jewelry sales. Users can add, edit, and delete jewelry items, as well as view stock details and prices. The system also allows for jewelry sales, with dynamic calculations for total costs. The entire functionality of the Jewelry Shop Management System is implemented using Python and the Django Framework.

    Functionality and modules of the project Jewellery Shop Management System:

    • Login – Admin login module
    • Logout Functionality
    • Change Password Functionality
    • Dashboard – Admin dashboard for managing jewelry details
    • Jewellery Management Module
      • Adding, editing, and viewing Jewellery Details
      • List of all Jewellery
    • Sales Management Module
      • Adding, editing, and viewing Sales Details
    • Reports of the project Jewellery Shop Management System
      • Report of all Jewellery
      • Report of all Sales

    Static Pages and other sections :

    These static pages are available in the project Jewellery Shop Management System

    • Home Page with attractive UI
    • Animated slider for images banner on the Home Page
    • About us page describing the project
    • Contact us page for communication

    Technology Used in the project Jewellery Shop Management System

    We have used the following technology to develop this project

    • HTML : Page layout design
    • CSS : Styling and design
    • JavaScript : Validation and animations
    • Python : Business logic implementation
    • MySQL : Database management
    • Django : Framework for development

    Supported Operating System

    This project can be configured on the following operating systems

    • Windows : Python 2.7, PIP, Django required for Windows
    • Linux : Compatible with all versions of Linux
    • Mac : Easily configured on Mac OS
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