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dc.contributor.authorChiluba, Fredrick Narsh
dc.contributor.authorLanyero, Deborah
dc.contributor.authorByansi, Livingstone
dc.contributor.authorAmito, Sharon
dc.date.accessioned2022-01-25T14:11:17Z
dc.date.available2022-01-25T14:11:17Z
dc.date.issued2019-12
dc.identifier.urihttp://hdl.handle.net/20.500.12281/11129
dc.descriptionA project report document submitted to the School of Computing and Informatics Technology for the study leading to a project in partial fulfillment of the requirements for the award of the Degree of Bachelor of Science in Software Engineering of Makerere University.en_US
dc.description.abstractJob Postings Aggregator is a software system that will extract job descriptions that have been stored in AJP database in the system and from job advertisement platforms and apply machine learning capabilities to analyze job seeker’s Curriculum Vitae’ (CV) and using a matching algorithm, it will extract the matching keywords between the mined job descriptions and the uploaded CVs. Job Postings Aggregator will then generate a report containing applicants with their qualified job descriptions which can then be used in the selection process by the Employing organizations as well as Jobseekers to streamline their search areas.[1] This Software Design Document describes the architecture, the data design, component design, human interface design as well as the requirements matrix of Job Postings Aggregator system. The intended audience of this document include; system developers, project supervisors, examiners, users, maintainers and testers. This system will link job seekers to available job opportunities thereby streamlining the search process for Job seekers and improving the selection process for the Employing organizations.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectSoftware systemen_US
dc.titleJob postings aggregatoren_US
dc.typeThesisen_US


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