The online Staff Leave Management System is designed to automate the process of leave applications and approvals. It manages institutional staff leave records efficiently while reducing paperwork and errors. The system integrates an AI-based module to assist in work adjustment and scheduling, ensuring minimal disruption to daily operations. This research explores the design, implementation, and benefits of an AI-based leave management system, detailing its architecture, methodology, and performance evaluation. The proposed system reduces the burden on administrative staff, improves accuracy in leave tracking, and enhances staff productivity. The AI-based approach also ensures fair workload distribution, improving overall operational efficiency within educational institutions.
Volume 17 | Issue 1
Pages: 164-167