ISSN2320-2882
Impact Factor9.17
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Paper Title

Defaulter List Generation Using ML

Authors

Shreyash Belote , Soham Barkade , Vallika Bodekar , Aditya Mahajan , Harshita Bhagwat

Keywords

Machine Learning, Attendance Management System, Defaulter Prediction, Automated Reporting, Web Application, Predictive Analytics, Educational Technology.

Abstract

Manual attendance management is often inefficient and error-prone. This paper presents an automated Defaulter List Generation System using Machine Learning to streamline monitoring and improve accuracy. The system utilizes a three-tier architecture (Admin, Subject Teacher, Class Teacher) to validate data and automate defaulter identification based on prescribed thresholds. Beyond generating reports, the model predicts potential defaulters to enable proactive academic intervention. This solution minimizes manual effort while ensuring scalability and transparency in educational environments.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"Defaulter List Generation Using ML", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 2, page no.d107-d110, February 2026, Available :https://ijcrt.org/papers/IJCRT2602354.pdf
APA — 7th edition
Belote, S., Barkade, S., Bodekar, V., Mahajan, A., & Bhagwat, H. (2026). Defaulter List Generation Using ML. International Journal of Creative Research Thoughts, 14(2), d107-d110. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602354
MLA — 9th edition
Belote, Shreyash, et al. "Defaulter List Generation Using ML." International Journal of Creative Research Thoughts, vol. 14, no. 2, 2026, pp. d107-d110, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602354.
Chicago — 17th, bibliography
Belote, Shreyash, et al. "Defaulter List Generation Using ML." International Journal of Creative Research Thoughts 14, no. 2 (2026): d107-d110. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602354.
Harvard — author–date
Belote, S. et al. (2026) 'Defaulter List Generation Using ML', International Journal of Creative Research Thoughts, 14(2), pp. d107-d110. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602354
IEEE — numbered reference
S. Belote, S. Barkade, V. Bodekar, A. Mahajan and H. Bhagwat, "Defaulter List Generation Using ML," IJCRT, vol. 14, no. 2, pp. d107-d110, Feb. 2026.
Vancouver — biomedical
Belote S, Barkade S, Bodekar V, Mahajan A, Bhagwat H. Defaulter List Generation Using ML. IJCRT. 2026 Feb;14(2):d107-d110.
AMA — 11th edition
Belote S, Barkade S, Bodekar V, Mahajan A, Bhagwat H. Defaulter List Generation Using ML. IJCRT. 2026;14(2):d107-d110. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602354
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2602354, author = {Shreyash Belote and Soham Barkade and Vallika Bodekar and Aditya Mahajan and Harshita Bhagwat}, title = {Defaulter List Generation Using ML}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {2}, pages = {d107-d110}, year = {2026}, month = {February}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602354} }
RIS — EndNote, RefWorks
TY - JOUR AU - Belote, Shreyash AU - Barkade, Soham AU - Bodekar, Vallika AU - Mahajan, Aditya AU - Bhagwat, Harshita TI - Defaulter List Generation Using ML T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 2 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602354 SP - d107-d110 ER -

Issue

Volume 14 Issue 2, February-2026
Pages : d107-d110

Article Information

Pages
d107-d110
Published
February 2026
Registration ID
IJCRT_301451
Published Paper ID
IJCRT2602354
Research Area
Science and Technology
Author Type
Indian Author
Location
Navi Mumbai, Maharashtra, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
177

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About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
Open Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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