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Itconnect : real-time personalized job posting platform for it professionals

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dc.contributor.author Karunanayake, KRDSK
dc.contributor.author Chandrawansa, KTM
dc.contributor.author Gunatilleke, ICT
dc.contributor.author Menuranga, KYDB
dc.contributor.author Gawesha, A
dc.contributor.author Manathunga, K
dc.contributor.editor Piyatilake, ITS
dc.contributor.editor Thalagala, PD
dc.contributor.editor Ganegoda, GU
dc.contributor.editor Thanuja, ALARR
dc.contributor.editor Dharmarathna, P
dc.date.accessioned 2024-02-06T02:38:53Z
dc.date.available 2024-02-06T02:38:53Z
dc.date.issued 2023-12-07
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22169
dc.description.abstract This study offers an innovative job platform created especially for IT professionals in Sri Lanka to address pressing issues in the IT job market. The platform focuses on four main challenges: identifying fake job postings using NLP techniques, providing customized job recommendations based on skill assessments, enhancing the candidate application process through facial analysis, and evaluating resumes based on experience and job levels. The DistilBERT text analysis fake job detection model achieves a remarkable overall accuracy of 98%. Our system combines skill assessments with content-based filtering to deliver useful job recommendations. The stress level estimator and Siamese models are used to face verification while assessing the candidate’s stress level. The resume enhancement system powered by PyPDF2 and a deep neural network, boasts an impressive 86.6% accuracy in evaluating job candidates’ experience. It also streamlines resume creation with a ReactJS generator. en_US
dc.language.iso en en_US
dc.publisher Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.subject IT workforce en_US
dc.subject Online recruitment en_US
dc.subject Fake job post detection en_US
dc.subject BERT transformers en_US
dc.subject NLP en_US
dc.subject Siamese models en_US
dc.subject Resume generator en_US
dc.subject Content-based filtering en_US
dc.subject Job recommendation system en_US
dc.title Itconnect : real-time personalized job posting platform for it professionals en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty IT en_US
dc.identifier.department Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa. en_US
dc.identifier.year 2023 en_US
dc.identifier.conference 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 1-6 en_US
dc.identifier.proceeding Proceedings of the 8th International Conference in Information Technology Research 2023 en_US
dc.identifier.email karunanayake.sayuri@gmail.com en_US
dc.identifier.email chandrawanshathisara@gmail.com en_US
dc.identifier.email thilini99gunathilaka@gmail.com en_US
dc.identifier.email bdishma@gmail.com en_US
dc.identifier.email asiri.l@sliit.lk en_US
dc.identifier.email kalpani.m@sliit.lk en_US


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  • ICITR - 2023 [47]
    International Conference on Information Technology Research (ICITR)

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