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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM40031
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Effective workforce planning and management are essential for organizational success in today’s competitive, data-driven world. This paper introduces WorkGen, a comprehensive web application that revolutionizes workforce management through data-driven insights, seamless analytics, and automation. WorkGen combines cutting-edge technologies such as Streamlit, Python, and the MERN stack to deliver a unified platform that automates data visualization, report generation, meeting scheduling, and project allocation. By addressing critical challenges organizations face, WorkGen enhances decision-making, operational efficiency, and resource management. Its robust architecture ensures scalability and ease of use, making it a transformative tool for workforce optimization. This paper discusses the development process, methodologies, and implementation results of WorkGen while highlighting its unique capabilities and future potential.
KEYWORDS
Publication Date
12/22/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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