HEALTH-DRIVEN PERFORMANCE LEAVES: A SMART HR SOLUTION

Billal Baddi, Automation & Robotics in wellness programs, and health-

Department, AI AR Kalsekar Polytechnic
related leave history, our machine
Panvel
learning model predicts leave
Mohammed Ali Automation & Robotics approval likelihood with an
Departmnet AI AR
Kalsekar Polytechnic Panvel
accuracy of approximately 85%.

Ammar Khot Automation & Robotics

Department AI AR
Kalsekar Polytechnic Panvel Preliminary implementation of the
system in a realworld setting
Kalekar Nouman Automation & Robotics
Department AI AR Kalsekar Polytechnic demonstrated a 20% reduction in
Panvel unplanned absenteeism and a 15%
increase in employee engagement.
Abstract The solution not only streamlines
the leave approval process but also
The workplace landscape is
identifies potential areas for
evolving, with a growing
targeted wellness interventions,
recognition of the
contributing to a healthier and more
interconnectedness between
productive workforce.
employee health and performance.
This paper presents an innovative
approach to leave management, The paper outlines the system's
titled "Health-Driven Performance architecture, the machine learning
Leaves: A Smart HR Solution," model's development, and its
which integrates machine learning seamless integration into the leave
to optimize employee well-being management workflow. These
and productivity. health-driven performance leaves
represent a significant stride towards
creating a workplace environment
Our analysis, based on a dataset
that values and supports the health-
encompassing employee data over
driven performance of its workforce.
the past year, reveals a correlation
between employee health indicators
and performance metrics. By
incorporating factors such as
average work hours, participation

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 Introduction

Introducing "Health-Driven
Performance Leaves: A Smart HR
Literature Review :
Solution," a groundbreaking
initiative at the intersection of
employee well-being and
organizational efficiency. In today's
The document introduces the
dynamic workplace, understanding
development of a Employee Leave
the symbiotic relationship between
Management System (ELMS) for
health and performance is
efficient handling of employee leave
paramount. This innovative system
applications
leverages machine learning on a rich
dataset to predict leave approval
and approvals in an educational
likelihood based on health indicators
institution. It highlights the shift to a
and performance metrics. By
computer-based system to overcome
fostering a proactive approach to
challenges in the manual process,
employee health, the solution not
emphasizing data manipulation,
only optimizes leave management
time consumption, and leave record
but also identifies opportunities for
tracking difficulties. The SLMS
targeted interventions, promising to
automates leave processes with
create a workplace culture that
modules catering to administrators,
prioritizes the health-driven
employees, heads of department,
performance of its workforce.
and principals. It includes code
This innovative system utilizes snippets for key
machine learning to predict leave
approval likelihood based on pages. In summary, the ELMS aims
comprehensive performance metrics. to simplify employee leave
By holistically addressing health and management, offering services like
performance, the solution not only
streamlines leave management but application, verification, and record
also enhances workplace efficiency, checking, while acknowledging
fostering an environment where limitations and recommending
employee well-being aligns with solutions for improved accessibility
organizational success. and efficiency.

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 emergency welfare management.
The presented paragraphs Collectively, these insights form a
collectively constitute an implicit comprehensive literature survey,
literature review, addressing offering valuable perspectives on
challenges and proposed solutions challenges and advancements in
in employee leave management leave management systems within
systems. Across diverse contexts, organizational contexts.
including MetLife Bangladesh and
educational institutions, common
issues like excessive paperwork,
time-consuming processes, and Methodology:
report generation difficulties have
been identified. The documented
solution involves the
implementation of web-based leave
management systems, aiming to
streamline processes, enhance
efficiency, and benefit various
stakeholders. Specifically, the report
details the development of an
automated Employee Leave
Management System, employing a
three-tier software architectural
model. Performance evaluations
indicate favorable user perceptions,
emphasizing ease of use,
convenience, and timely services. In
educational settings, a similar need
for automation is recognized,
targeting challenges in manual leave
tracking and proposing a Employee
Leave Management System.
Acknowledging limitations,
recommendations include involving
pupils, conducting staff workshops,
and exploring additional features for

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 4. Database Schema Design
-Design the database schema to store information related
to health-driven performance leaves.

- Define tables, relationships, and attributes,

considering data normalization principles.

5. Data Security Measures

3. Use Case Diagrams

- Develop use case diagrams to
represent interactions between
system components and different
Design Analysis: user roles.
- Identify scenarios where the
1. System Architecture: system is utilized for health-driven
- Define the overall architecture of performance leaves.
the HealthDriven Performance
Leaves system, including ### Database Design and its
components, modules, and their Implementation:
interactions. - Choose a scalable
architecture that supports future
- Implement security measures
enhancements and integrations.
such as encryption and access
controls to safeguard health-related
2. Data Flow Diagrams (DFD):
data. - Ensure compliance with
- Create DFDs to illustrate the
data protection regulations.
flow of data within the system.
- Identify processes, data
Integrating Database and GUI:
stores, and data flows related to
health-driven performance leaves.

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6. API Design : - Design the user
- Design APIs to facilitate interface, focusing on
communication between the database aesthetics, usability, and
and the graphical user interface accessibility. - Ensure a
(GUI). consistent and intuitive user
- Specify endpoints for experience across different
retrieving and updating health-driven devices.
performance leave data.
11. Frontend Development:
7. Middleware Integration - Implement the
- Integrate middleware frontend using suitable
components to connect the GUI with technologies (HTML, CSS,
the database. JavaScript). - Integrate
- Implement logic for data with backend APIs for real-
retrieval, processing, and updating. time data interaction.

GUI Construction and 12. Deployment

Implementation: - Deploy the GUI and
associated components to a
8. Wireframing : staging environment for final
- Create wireframes for the user testing.
interface, outlining the layout and
navigation. - Obtain feedback from - Plan a phased
stakeholders to refine the design. deployment strategy to
minimize disruption to users.

9. Prototyping:
- Develop interactive 13. Monitoring and Feedback:

prototypes to demonstrate the - Implement

functionality of the GUI. monitoring tools to track the

- Incorporate elements performance of the GUI.

such as leave request forms, - Gather feedback from

status tracking, and health- users and stakeholders for

related resources. continuous improvement.

10. User Interface Design:

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 submission process. The subsequent
testing of the manager approval
workflow assesses whether

Test notifications are received promptly,

and the system accurately updates
leave statuses upon approval or
The below mentions are examples of
rejection. This ensures that the
some of test cases which are tested
workflow aligns with organizational
on the application.
processes and aids in efficient
decision-making regarding employee
Testing a Health-Driven Performance
leave requests.
Leaves system is imperative to
guarantee its reliability, security, and
The third category of test cases
user-friendliness. In the first set of
emphasizes the accuracy and security
test cases, the focus is on user
of data. It includes verifying that
authentication, ensuring that
health-related data is securely stored,
individuals can securely log in with
protected from unauthorized access,
valid credentials, while the system
and transmitted using encryption
appropriately denies access for
measures. Integration tests with
invalid login attempts. Additionally,
Employee Assistance Programs
the functionality of the "Forgot
(EAP) and wellness programs are
Password" feature is tested to ensure
conducted to ensure a seamless
a smooth recovery process. A
collaboration, offering employees
successful test in this category
access
verifies the system's robustness
against unauthorized access and its
ability to handle common to counseling services and accurate

authentication scenarios. information about wellness

initiatives. Successful testing in this
area guarantees the confidentiality
The second set of test cases revolves
and reliability of sensitive health-
around the submission and
related data, aligning with regulatory
processing of health-driven
requirements and organizational
performance leave requests.
privacy standards.
Ensuring that mandatory fields are
validated and that error messages
appear for missing information
guarantees a seamless request
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The final set of test cases In conclusion, the Health-Driven
concentrates on the usability and Performance Leaves system is like a
performance of the system. This smart helper for both employees and
the company. It's designed to take
care of employees' health needs
includes testing the responsiveness of while making sure the company runs
the graphical user interface (GUI) smoothly. By following a careful
across various devices, assessing plan and using technology, this
overall usability, and confirming system helps employees request
compliance with accessibility health-related leaves easily and
standards. Additionally, performance ensures managers can handle those
testing evaluates the system's requests efficiently.
responsiveness under different loads,
while browser compatibility testing This smart solution doesn't just stop
ensures a consistent user experience at handling leaves. It also connects
across popular web browsers. The with programs that support
continuous monitoring mechanism, employees' well-being and provides
as outlined in the test cases, ensures helpful resources. The system is built
that the system is proactively step by step, making sure it's secure,
checked for performance issues, and user-friendly, and follows all the
feedback mechanisms allow users to rules.
contribute insights for ongoing
improvement. Together, these test In the end, this Health-Driven
cases contribute to the creation of a Performance Leaves system is not
robust, secure, and user-friendly just about taking time off when
Health-Driven Performance Leaves needed; it's about creating a
system. workplace where

everyone's health and performance

matters. It's a tool that cares for
employees, helps the company run
Conclusion better, and makes sure everyone can
do their best at work.

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 References

[1] Hridita, A. (2018). Employee leave

Management System in Metlife Bangladesh. An

Internship Report on Metlife.

[2] EMPLOYEE LEAVE MANAGEMENT

SYSTEM Adamu A. Department of Computer

Science, Ibrahim Badamasi Babangida University,

Lapai, Niger state, Nigeria

[3] LEAVE MANAGEMENT SYSTEM

(Conference ID: CFP/669/2018) Ms. Linda Malomo

lindamalomo@gmail.com Student: School of

Business and Humanities Information and

Communications University. Lusaka, Zambia.

[4] EMPLOYEE LEAVE MANAGEMENT SYSTEM Rohit Bhandare

by Prnav Tanawade Dept. Of Computer Science & Engineering,
Jayawant Shikshan Prasarak Mandal’s,
Bhivrabai Sawant Polytechnic, India.

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[5] Cloud Based Employee Leave Management System by
Sowjna.K.Shetty Computer Science and Engineering Sai Vidya
Institute Of Technology Bangalore,India.