Financial Operations System using AWS

Authors: Jecita Brahmane, Gayatri Hire, Aditi Shinde, Meenakshi Singh, Mahesh Dhande

Country: India

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Abstract: This project focuses on enhancing the operational efficiency of Hindustan Tungsten Carbide Company, a prominent manufacturer of tungsten carbide products, which has faced significant challenges, including commitment failures and financial losses due to manufacturing tracking inefficiencies. To tackle these issues, we propose a comprehensive solution featuring real-time product tracking throughout the manufacturing process, fostering transparency and timely notifications for customers and administrators alike. The system comprises four key modules: the Product Inventory Module for efficient management of raw materials and finished products; the Employee Management Module for streamlined employee data handling and performance tracking; the Salary Module for automated payroll processes with accurate disbursement of salaries; and the Sales Prediction Module utilizing machine learning algorithms to forecast future sales trends. By optimizing production schedules and inventory management, this integrated approach aims to mitigate financial risks and enhance overall productivity within the company.

Keywords: Hindustan Tungsten Carbide, Operational Efficiency, Real-Time Tracking, Product Inventory, Employee Management, Payroll Automation, Sales Prediction, Machine Learning

Paper Id: 231945

Published On: 2025-01-02

Published In: Volume 13, Issue 1, January-February 2025

Cite This: Financial Operations System using AWS - Jecita Brahmane, Gayatri Hire, Aditi Shinde, Meenakshi Singh, Mahesh Dhande - IJIRMPS Volume 13, Issue 1, January-February 2025.

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