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" INVENTORY Management System for Local Businesses " Using Our Software You Efficiently Manage your Product Record(eg. Quantity ) and also has a Customer Interface which can be further extend to a "Online Market Place" . This software is highly Compatible ,Can be Changed in accordance to clients Requirements.This Project is Associated with CED@SCOE
This project is a comprehensive data pipeline designed to extract Gross Domestic Product (GDP) data for South American countries from the World Bank API, transform it into a structured format, and load it into a PostgreSQL database.
Expiration Date Checker is a Python program that checks the expiration date of products using an Excel file as input. It is a simple and easy-to-use tool that helps you keep track of the expiration dates of your products.
ADLexSyn is a comprehensive project that explores the fundamental aspects of lexical analysis, syntax analysis, and symbol table management within the context of programming language processing.
Getting PostgresQL datasets, analyze it, get all information. Using ETL, read PostgresQL data, transform it with Python to MongoDB proper formatting, create MongoDB and populate it with the new data.
top-schedule-fetcher is a Python program to retrieve schedules from the TOP college website, providing a simple interface to retrieve daily or weekly schedules and save them in JSON format.
A Python Tic Tac Toe game played by two-players on a 3x3 grid that has the goal of getting three marks ('X' or 'O') in a row (horizontally, vertically, or diagonally) or ending the game in a draw.
A lightweight Python script for integrating Excel (.xlsx) and CSV file uploading functionality into web applications. The script provides a simple interface for users to upload spreadsheet files directly from their devices. Once uploaded, the script parses the data and processes it, making it available for further manipulation.
This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.