Orphan Adoption Management System using Machine Learning Approach
Автор: R. Kaladevi, Jeevitha B., Jeevitha V., Madhumitha P., Shanmugasundaram Hariharan, Andraju Bhanu Prasad
Журнал: International Journal of Education and Management Engineering @ijeme
Статья в выпуске: 5 vol.12, 2022 года.
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According to UNICEF, the latest estimate states that there are about 2.7 million children in orphanages. Orphanage is a residence for people who are without parental support or any moral support from anyone. Such orphans require help from people who are in a good financial state to donate them. Generally, in orphanage records are usually maintained for future reference, retrieval, and easy management. The objective of this paper is to help the orphans from different orphanages to get help from the donors who wish to donate them by using our web application. The proposed system helps the staff in reducing manual paper work and enhances tidiness in record keeping since the existing one uses manual keeping, i.e., the use of files and papers. The system allows the orphanage owner to add and modify the orphan records. The system provides suggestions for assignment of these orphans to the caretakers/donors by using SVM (Support Vector Machine) algorithm. Donor can select the orphan and request for adoption from the orphanage owner. The Orphanage owner can accept or reject help from the donor. The proposed system is aimed to facilitate donors with the details of an orphan and providing fund specifically to that orphan.
SVM algorithm, Orphan, Record management, Machine Learning
Короткий адрес: https://sciup.org/15018571
IDR: 15018571 | DOI: 10.5815/ijeme.2022.05.03
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