A Web-Based Intelligent Human Resource Management System
Streamline Recruitment, Monitor Employee Attendance, Validate Leave Requests, and Gain Actionable Workforce
Insights Through A Centralized HR Analytics Platform Designed For Modern Educational Institutions.
A capstone project that integrates decision-support intelligence
into institutional HR management.
“Why Intelligent HRMS?”
Human Resource operations in many institutions still rely on manual verification processes for recruitment screening, attendance reconciliation, and leave validation. These practices increase administrative workload, delay decision-making, and reduce visibility into workforce performance.
Intelligent HRMS addresses these challenges by integrating core HR processes into a centralized web-based platform enhanced with rule-based decision support mechanisms. The system combines applicant evaluation, attendance monitoring, leave validation, and HR analytics within a single architecture.
By incorporating computational models such as weighted applicant scoring and attendance anomaly detection, the system supports HR administrators in making faster, more objective, and data-driven decisions while improving operational efficiency and transparency.
About the Capstone Project
Intelligent HRMS is a web-based Human Resource Management System designed to streamline recruitment, employee management, attendance monitoring, and leave processing in higher education institutions. The system incorporates rule-based decision support mechanisms such as applicant scoring, attendance anomaly detection, and automated leave validation to assist HR personnel in making more efficient and data-driven decisions.
Core Modules
Applicant Evaluation and Ranking
The system evaluates job applicants using a weighted scoring model that considers factors such as education, experience, certifications, and interview ratings. This provides HR personnel with a standardized and objective method for shortlisting candidates.
Attendance Monitoring and Anomaly Detection
Employee attendance records are automatically analyzed using rule-based thresholds that identify patterns such as frequent lateness, absences, or missing logs. The system computes a risk score and classifies attendance behavior to assist HR monitoring.
Automated Leave
Validation
Employees can submit leave requests through the system, which automatically verifies leave eligibility based on institutional policies and available leave credits before approval or further HR review.
HR Analytics
Dashboard
The system presents real-time HR data through dashboards that summarize employee attendance trends, recruitment outcomes, and operational insights, helping administrators make informed workforce decisions.
Secure Role-Based
Access Control
Access to system features is managed through role-based permissions to ensure that HR personnel, employees, and system evaluators can only access functions relevant to their responsibilities.