File leave, score requests with a weighted decision support engine, review staffing overlaps, and route approvals through Supervisor → HRMO → Admin — with forecasts and anomaly alerts for HRMO.
Built-in forecasting, scoring, and workflow tools — not marketing placeholders
Weighted Moving Average blended with Exponential Smoothing for department-level leave demand projections.
Composite 0–100 score from leave balance, staffing, forecast risk, anomaly flags, and policy compliance.
Employee, Supervisor, HRMO, Final Approver (fallback), and Admin — each with scoped menus and permissions.
Statistical outlier detection with optional K-Means clustering to surface unusual leave patterns.
From filing a request to HRMO analytics — the actual workflow built into the app
Employees submit leave with type, dates, and reason. The system runs DSS scoring immediately and notifies the first approver.
Each request gets a composite score from five weighted factors plus anomaly flags from Z-Score and IQR analysis.
Supervisor → HRMO → Admin review with digital signatures, staffing overlap analysis, approval insight, and DSS guidance.
Role-based dashboards, HRMO forecast and anomaly views, monitoring timeline, PDF reports, and in-app notifications.
Modules you will find after signing in — matched to the sidebar navigation
File leave, view my leaves, check credits, and generate the official leave form.
Supervisors and HRMO review queues with badges for new pending items.
Overlapping leave analysis scoped by role — supervisor sees their team, HRMO sees all departments.
Approvers sign requests digitally at each approval level before forwarding.
In-app alerts for filings, approvals, registrations, and pending actions with bell badge.
New users register by role with department and supervisor assignment; admins confirm accounts.
Track leave activity and system events on a chronological monitoring view.
Generate leave reports and analytics exports for supervisors, HRMO, and admin.
User management, departments, supervisor assignment, dataset upload, and audit logs.
LeaveLink uses statistical forecasting and a weighted scoring engine — not black-box ML. HRMO analytics refresh from your organization's leave history, and every DSS score shows a transparent breakdown of its five contributing factors.
Weighted Moving Average blended with Exponential Smoothing for month-ahead leave demand by department and leave type.
Z-Score and IQR methods flag unusual leave behaviour; K-Means clustering groups patterns for HRMO review.
Weighted composite score (0–100) from five factors. Recommends Approve (≥70), Review (≥45), or Reject.
LeaveLink replaces manual leave tracking with a unified PHP/MySQL system — filing, multi-level approvals, staffing review, forecasting, and audit trails in one deployable platform.
Built for shared hosting with role-based access for employees through administrators. Every approval action is logged, DSS scores are explainable, and HRMO analytics run on your organization's actual leave data — including optional CSV dataset import.
Sign in with your institutional account, or register if your organization allows self-enrollment. Contact your HR or IT administrator if you need access.