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Stream/Area:
-
Subject:
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Paper ID:
IJSREM68343
Volume:
10 |
10 |
Oct 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
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.

Information technology
Vidyalankar Institute of technology
Information technology
Vidyalankar Institute of technology
Information technology
Vidyalankar Institute of technology
Information technology
Vidyalankar Institute of technology
Digital philanthropy platforms often separate mon-etary giving, volunteering, and organization discovery, with un-even verification and accountability. This paper describes Nab-hya, a mobile-first platform that verifies NGO registration and eligibility documents before their content becomes public. Pub-lic queries also require the organization to remain active, mak-ing visibility a data-access rule. NGOs publish quantified wants and offers, while volunteers can receive participation certificates with publicly verifiable codes. The TypeScript monorepo con-tains an Expo client, a NestJS API with 15 feature modules and 103 endpoints, and a 27-table Drizzle ORM schema on Post-greSQL. Database constraints and row locks enforce unique-ness, event capacity, and fulfillment invariants. An integration suite checks those rules against a PostgreSQL database built from the project’s migrations. Two-stage geospatial search and structured WANT/OFFER matching support discovery. Inte-gration, concurrency, and performance tests evaluate the imple-mented system.
KEYWORDS
Nabhya was presented in this paper, and the structural features it has – organizational trust, item level bidirectional giving, and volunteer verification – are built into the platform from the very beginning. Three architectural properties can be demonstrated using the evaluation results. First, unverified or suspended entities are prevented from appearing in the evaluated public discovery mech-anisms by predicates on the query level. Second, the 27-table schema uses database constraints and transaction locks to en-force the properties of uniqueness, capacity, and fulfillment. Third, integration and concurrency testing verifies these prop-erties on a PostgreSQL database produced by migration, while quantitative evaluation provides performance baselines. Deployment in the field with actual donors, volunteers, and NGOs, along with longitudinal evaluation of adoption and per-ceived trustworthiness, is a task for the future. Improving verifi-cation by performing regular cross-validation and re-verification against external registries is also required in production use (Sec-tion 6.4). With all these limitations, Nabhya demonstrates a testable blueprint of trustworthy infrastructure for data-driven smart social applications.
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Publication Date
10/27/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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