Year: 2025
Type: article
Abstract: Efficient leave management plays a pivotal role in ensuring smooth workforce operations and maintaining productivity in modern organizations [1]. This paper presents a Smart Leave Web Application aimed at addressing the challenges of manual leave management. The application automates various processes, including leave requests, approvals, and leave balance tracking, thereby reducing administrative overhead and ensuring accuracy in record-keeping [2]. By leveraging web technologies, the system enables employees to submit and manage leave requests through an intuitive user interface, ensuring ease of use across diverse work environments [3].The core functionality of the application includes real- time tracking of leave balances, categorization of different types of leave, and automated notifications to keep employees and HR personnel informed throughout the approval process [4]. Managers are equipped with a dashboard that allows them to efficiently handle leave requests, ensuring a smooth approval or rejection process. Additionally, the system supports customizable leave policies that adhere to organizational rules and regional regulations [5].To enhance decision-making, the application incorporates intelligent algorithms that assist in equitable leave distribution, helping to balance workloads and prevent understaffing or overstaffing. The system also generates detailed reports, which offer insights into leave trends, helping HR departments plan better and allocate resources more effectively [6]. Through this automation and advanced analytics, the application aims to optimize workforce management while enhancing employee satisfaction and retention.This paper explores the architecture and technologies behind the Smart Leave Web Application, discussing its backend structure, security measures, and performance optimizations [7]. By presenting a comprehensive solution to leave management, this study highlights how digital tools can revolutionize HR processes and contribute to overall organizational success.
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4410260242