farukuddin / textile-store-management-dbms

A DBMS project on Textile Store Management using StreamLit-Python for the frontend app

TEXTILE-STORE-MANAGEMENT-DBMS

A DBMS project on Textile Store Management using StreamLit-Python for the frontend app and a mysql database

SYNOPSIS

A DBMS mini project on Textile Store Management System where we use streamlit python for front-end and mysql database as the backend. Apart from that we have multiple mysql queries based on :

• Joins, comprising natural, inner, outer, etc...
• Aggregation & Set operations
• Views
• Triggers & Cursors
• Procedures & Functions

INSTRUCTIONS

• Install the latest version of XAMPP or any other mysql equivalent workspace
• Download the project, or enter the following in terminal if you have git installed :-

git clone github.com/smsraj2001/TEXTILE-STORE-MANAGEMENT-DBMS.git

DATABASE

• Next switch on your xampp server and click on phpMyAdmin and click on New database and create it with any name.
  • Now click on your new database and on your right panel select Import option and upload the .sql file from the database folder available in TEXTILE-STORE-MANAGEMENT-DBMS folder.
  • Your database will be loaded with all the pre-existing values, functions, procedures, triggers, views, cursors, etc...
  • For complete understanding of the database please refer to the ER-Diagrams uploaded which has both E-R diagram and Relational Schema
  • Now let's dive to the front end

FRONTEND

• Before entering the front-end, (Python should be already installed) , install streamlit and plotly by the following command :

  pip install streamlit

  pip install plotly

• After this enter into the folder:

  cd TEXTILE-STORE-MANAGEMENT-DBMS\SRC-APP

• Open a terminal here and run

  steamlit run app.py

• Remember : In the database.py file , rename the database name to the name you had given initially in the DATABASE instructions.
• Hence, you have the entire project running successfully.
• For deeper understanding of the DBMS project, look into the REPORT PDF uploaded for visualizing the outputs for database and front-end.

ENJOY !!!

UPDATE : Deployed in streamlit cloud!!!

NOTE : For any queries/corrections, please feel free to mail : [email protected]