Multi-service Platform for Humanitarian Assistance to Residents of Affected and Dangerous Regions: The Kharkiv Exprience of Implementation

The article describes a multi-service platform, designed to optimize the operations of various volunteer organizations, using the needs of a volunteer team assisting residents of liberated territories in the Kharkiv region as a case study. The platform manages key functions, including "Acceptance," "Processing," and "Sending" of humanitarian aid requests. The article covers domain analysis, problem definition, requirements specification, and the development of CRM software using JavaScript, Java, and Angular (TypeScript). The MVC pattern is employed, and Hibernate is used for database management. Hibernate facilitates efficient data management, while Docker supports optimized deployment. Particular attention is given to the "Processing" function, which relies on a complex algorithm to determine the nearest humanitarian hub. During the platform’s operational phase, insights gained led to optimizations that improved the "Processing" function and the overall effectiveness of the solution.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/dessert65323.2024.11122247
Primary Topic
Labor Market and Education
Type
article
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article

Multi-service Platform for Humanitarian Assistance to Residents of Affected and Dangerous Regions: The Kharkiv Exprience of Implementation

Yehor Oleinykov
Labor Market and Education
article

Multi-service Platform for Humanitarian Assistance to Residents of Affected and Dangerous Regions: The Kharkiv Exprience of Implementation

Yehor Oleinykov
article en

Abstract

The article describes a multi-service platform, designed to optimize the operations of various volunteer organizations, using the needs of a volunteer team assisting residents of liberated territories in the Kharkiv region as a case study. The platform manages key functions, including "Acceptance," "Processing," and "Sending" of humanitarian aid requests. The article covers domain analysis, problem definition, requirements specification, and the development of CRM software using JavaScript, Java, and Angular (TypeScript). The MVC pattern is employed, and Hibernate is used for database management. Hibernate facilitates efficient data management, while Docker supports optimized deployment. Particular attention is given to the "Processing" function, which relies on a complex algorithm to determine the nearest humanitarian hub. During the platform’s operational phase, insights gained led to optimizations that improved the "Processing" function and the overall effectiveness of the solution.

Simon Kuznets Kharkiv National University of Economics (UA), National Aerospace University – Kharkiv Aviation Institute (UA)
Reduced inequalities
Openalex Percentile: Top 65%
Labor Market and Education
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Multi-service Platform for Humanitarian Assistance to Residents of Affected and Dangerous Regions: The Kharkiv Exprience of Implementation — Yehor Oleinykov · (2024) | TGRS Research Map | TGRS