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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

HR ANALYTICS TO TRACK EMPLOYEE PERFORMANCE

D. Anusri G. Sankeerthana P. Hema Reddy

Dr. P. Sandhya

Dept of CSE (Data Science) Vidya Jyothi Institute of Technology Hyderabad, Telangana, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

We're building a simple Employee Management System using Python. It's like a digital HR helper that lets you manage employee information, track who comes to work, and handle time off requests. Admins can easily add, update, or remove employee details, while employees can check their own information and ask for leaves. We're keeping it straightforward with SQLite as the database, making it perfect for small businesses or teams. The goal is to make HR tasks quicker and easier, so you can focus on what’s important. The Employee Management System is designed to streamline HR processes with features like Employee Data Management, Attendance Tracking, Leave Management, and Admin Controls. Admins can add, and mark attendance, and manage leave approvals. The system is built using Python with skinter for GUI and sqlite3 for database management, leveraging SQLite's lightweight and easy to-set-up nature. The simple and built-in Skinter framework makes it perfect for small businesses or teams. Employee Data Management: Add, update, and view employee details (e.g., name, ID, department contact info), Attendance Tracking: Mark attendance, view attendance records, and generate reports. Leave Management: Apply for leaves, view leave status, and manage leave approvals, Admin Controls: Add, update, or remove employee records, and manage system settings. In Technical Details: Programming Language: Python (using libraries like skinter for GUI and sqlite3 for database) Database: SQLite (lightweight and easy to set up), GUI Framework: Skinter (simple and built in with Python)


How to Cite this Paper

Anusri, D., Sankeerthana, G. & Reddy, P. H. (2026). HR Analytics to Track Employee Performance. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.876

Anusri, D., et al.. "HR Analytics to Track Employee Performance." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.876.

Anusri, D.,G. Sankeerthana, and P. Reddy. "HR Analytics to Track Employee Performance." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.876.

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Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 30 2026
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