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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67699

AI-Powered NGO Subsidy Allocation & Document Management System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67699

Volume:

10 |

10 |

Oct 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Nikhil Nandkishor Vaidya

Nikhil Nandkishor Vaidya

Information Technology

Trinity Academy of Engineering, Pune

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Samarth Santosh Shinde

Samarth Santosh Shinde

Information Technology

Trinity Academy of Engineering, Pune

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Rushikesh Nagnath Suryawanshi

Rushikesh Nagnath Suryawanshi

Information Technology

Trinity Academy of Engineering, Pune

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Shreyas Rajkumar Hucche

Shreyas Rajkumar Hucche

Information Technology

Trinity Academy of Engineering, Pune

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Abstract

This paper presents ScholarAid, a digital platform designed to help NGOs manage educational fee subsidies and scholarships efficiently, transparently, and fairly. The platform supports both online student self-registration and NGO-assisted applications for students who rely on offline or paper-based processes. It includes document upload and verification, OCR-based data extraction, duplicate and fraud-risk checks, applicant priority scoring, and budget-based scholarship allocation recommendations. Priority scores are generated using factors such as family income, academic performance, special circumstances, and document-risk indicators. To ensure fairness and accountability, the system follows a human-in-the-loop model in which AI provides recommendations, while NGO staff and administrators make the final decisions. The platform also provides verification dashboards, notifications, token and cheque-distribution support, and a complete audit trail. ScholarAid aims to reduce manual errors, improve processing speed, strengthen document verification, and make scholarship distribution more accountable for NGOs and eligible students.

KEYWORDS

scholarship management document verification FastAPI AIML

Cite This Article

Nikhil Nandkishor Vaidya, Samarth Santosh Shinde, Rushikesh Nagnath Suryawanshi, Shreyas Rajkumar Hucche, "AI-Powered NGO Subsidy Allocation & Document Management System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-4, Oct 2026.

Full Article/Conclusion

ScholarAid is an AI-enabled platform designed to improve the management of educational scholarships and fee subsidies by NGOs. It replaces manual paper-based processes with a centralized digital system for student registration, document upload, eligibility checking, verification, priority scoring, fund allocation, and application tracking. The platform supports both online student applications and NGO-assisted applications for students with limited internet access or digital literacy. OCR-based document processing, duplicate detection, fraud-risk checks, and budget-aware allocation recommendations help reduce errors and improve efficiency. However, AI only provides recommendations, while NGO staff and administrators retain final decision-making authority. By combining digital accessibility, AI assistance, transparent approval workflows, notifications, and audit logs, ScholarAid can help NGOs distribute educational financial support more fairly, securely, and efficiently.

References

1.        B. J., D. K. K. R., D. P. R., R. S., and V. P. M., “Scholarship Eligibility and Application Portal,” International Research Journal of Education and Technology, vol. 7, no. 3, Mar. 2025, doi: 10.70127/irjedt.vol.7.issue03.858. 2.        S. Jadhav and N. Pise, “CryptoScholarChain: Revolutionizing Scholarship Management Framework with Blockchain Technology,” International Journal of Advanced Computer Science and Applications, vol. 14, no. 8, 2023, doi: 10.14569/IJACSA.2023.0140872. 3.        T.-A. Nguyen-Hoang, N. C. Hoang, P. T. Hua, M.-T. N. Thi, T.-T. Ta, T. Nguyen, K. Tan-Vo, N.-T. Dinh, and H.-T. Nguyen, “Advancing Scholarship Management: A Blockchain-Enhanced Platform With Privacy-Secure Identities and AI-Driven Recommendations,” IEEE Access, vol. 12, pp. 168060–168090, 2024, doi: 10.1109/ACCESS.2024.3486078. 4.        W. D. Ahmad and A. Abu Bakar, “Classification Models for Higher Learning Scholarship Award Decisions,” Asia-Pacific Journal of Information Technology and Multimedia, vol. 7, no. 2, pp. 131–145, 2018, doi: 10.17576/apjitm-2018-0702-10. 5.        M. A. Rashid, K. Deo, D. Prasad, K. Singh, S. Chand, and M. Assaf, “TEduChain: A Blockchain-Based Platform for Crowdfunding Tertiary Education,” The Knowledge Engineering Review, vol. 35, Article e27, 2020, doi: 10.1017/S0269888920000326.  6.        R. Smith, “An Overview of the Tesseract OCR Engine,” in Proceedings of the Ninth International Conference on Document Analysis and Recognition, vol. 2, 2007, pp. 629–633, doi: 10.1109/ICDAR.2007.4376991. 7.        National Institute of Standards and Technology, Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1, Gaithersburg, MD, USA, Jan. 2023, doi: 10.6028/NIST.AI.100-1.

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Publication Date

10/6/2026

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