Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)

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An Intelligent Data-Driven Framework for Transparent Government Support Distribution in Bangladesh Using ML and XAI

Authors
Nur Hossain Bhuiyan1, *, Dwin Islam1, Amran Hossain1, Md. Rashedul Islam2
1Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur, 1700, Bangladesh
2Department of Electrical, Electronic and Communication Engineering, Pabna University of Science and Technology, Pabna, 6600, Bangladesh
*Corresponding author. Email: nhb99fci@gmail.com
Corresponding Author
Nur Hossain Bhuiyan
Available Online 8 June 2026.
DOI
10.2991/978-94-6239-664-7_92How to use a DOI?
Keywords
Government support allocation; machine learning (ML); multi-criteria decision-making (MCDM); predictive modeling; fair distribution; disaster relief; real-time processing; data-driven decision support; transparency; bias reduction
Abstract

The equitable distribution of government support including agricultural subsidies, disaster relief, educational scholarships, and elderly allowances remains a critical challenge in resource-constrained environments. This paper proposes a scalable, data-driven framework that integrates Machine Learning (ML) and weighted Multi-Criteria Decision Making (MCDM) to prioritize applicants based on socio-economic, geographic, and performance-related factors. Using normalized, weighted inputs collected via Google Forms or CSV uploads, the system generates a composite eligibility score to rank beneficiaries. Ten ML algorithms are trained and evaluated for predictive accuracy. Additionally, the framework supports explainable AI, real-time processing, and ranked output generation. Results across varied aid domains confirm the model’s effectiveness, transparency, and suitability as a decision-support tool for policymakers.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
8 June 2026
ISBN
978-94-6239-664-7
ISSN
1951-6851
DOI
10.2991/978-94-6239-664-7_92How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nur Hossain Bhuiyan
AU  - Dwin Islam
AU  - Amran Hossain
AU  - Md. Rashedul Islam
PY  - 2026
DA  - 2026/06/08
TI  - An Intelligent Data-Driven Framework for Transparent Government Support Distribution in Bangladesh Using ML and XAI
BT  - Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)
PB  - Atlantis Press
SP  - 1362
EP  - 1377
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-664-7_92
DO  - 10.2991/978-94-6239-664-7_92
ID  - Bhuiyan2026
ER  -