Research Article
Wadhifati: A Job Search Engine
@INPROCEEDINGS{10.4108/eai.1-5-2025.2361390, author={Salha Al Said and Lilibeth Reales and Imran Ahmed and Afra Al Hadhrami}, title={Wadhifati: A Job Search Engine}, proceedings={Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman}, publisher={EAI}, proceedings_a={MECSRC}, year={2026}, month={3}, keywords={machine learning web scraping job searching sbert nlp}, doi={10.4108/eai.1-5-2025.2361390} }- Salha Al Said
Lilibeth Reales
Imran Ahmed
Afra Al Hadhrami
Year: 2026
Wadhifati: A Job Search Engine
MECSRC
EAI
DOI: 10.4108/eai.1-5-2025.2361390
Abstract
The web application Wadhifati, meaning “my job” in Arabic, aims to assist job seekers in Oman. Many graduates face difficulties in finding suitable positions due to the confusion of available listings. Navigating several websites to find a posting that meets their qualifications further increases the difficulty, leaving many unemployed and unable to find a job suitable to their qualifications. Wadhifati uses web scraping to aggregate job postings from various websites, consolidating them into a single application to reduce the confusion and hassle of navigating multiple websites. The data-driven machine learning powered recommendation system uses Natural Language Processing with Sentence BERT to calculate semantic similarity using cosine similarity, providing a ranking of relevant jobs to users, enabling them to find jobs that align with their career path. As a result, the system would ease the job-search process and narrow down searches, potentially improving Oman’s socioeconomic state.
