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Original Article
Career bridge AI: An Intelligent Career Portal with Bidirectional Job Matching, Resume Analysis, And Skill Gap Detection
Lavanya Vanga1
Anjali Zunje2
Pratiksha Patil3
1 2 3 Department of CSE(AI&DS), Shree Siddheshwar College of Engineering, Solapur, Maharashtra, India.
Published Online: May-June 2026
Pages: 21-28
Cite this article
No DOIReferences
1. J. Smith, R. Kumar, "Limitations of Keyword-Based Resume Screening in Modern Recruitment Systems," International Journal of Human Resource Management, 2020.
2. P. Gupta, N. Joshi, "NLP-Based Resume Parsing Using Named Entity Recognition and Syntactic Analysis," IEEE International Conference on Computational Intelligence and Computing Research, 2022.
3. S. S. Basha, D. S. Rani, "Automated Resume Screening Using Natural Language Processing and Machine Learning," Springer International Conference on Computational Intelligence, 2018.
4. N. Reimers, I. Gurevych, "Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks," Proceedings of EMNLP, 2019.
5. J. Devlin, M. Chang, K. Lee, K. Toutanova, "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding," Proceedings of NAACL, 2019.
6. L. Zhang, M. Chen, "Deep Learning-Based Job Matching Using Semantic Embeddings and Cosine Similarity," IEEE Transactions on Neural Networks and Learning Systems, 2021.
7. D. Paparrizos, J. Cambazoglu, A. Gionis, "Machine Learned Job Recommendation," ACM Conference on Recommender Systems (RecSys), 2011.
8. R. Mehta, S. Iyer, "AI-Based Skill Gap Detection and Personalized Learning Recommendations for Career Development," International Journal of Artificial Intelligence in Education, 2023.
9. K. Lee, J. Park, "Explainability in AI-Driven Recruitment: Building Candidate Trust Through Transparent Match Reports," ACM Conference on Fairness, Accountability, and Transparency, 2022.
10. H. Wang, Y. Liu, "Impact of Applicant Tracking Systems on Candidate Success Rates and Resume Optimization," Journal of Human Resource Technology, 2023.
11. T. Mikolov, I. Sutskever, K. Chen, G. Corrado, J. Dean, "Efficient Estimation of Word Representations in Vector Space," arXiv, 2013.
12. F. Pedregosa et al., "Scikit-learn: Machine Learning in Python," Journal of Machine Learning Research, 2011.
2. P. Gupta, N. Joshi, "NLP-Based Resume Parsing Using Named Entity Recognition and Syntactic Analysis," IEEE International Conference on Computational Intelligence and Computing Research, 2022.
3. S. S. Basha, D. S. Rani, "Automated Resume Screening Using Natural Language Processing and Machine Learning," Springer International Conference on Computational Intelligence, 2018.
4. N. Reimers, I. Gurevych, "Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks," Proceedings of EMNLP, 2019.
5. J. Devlin, M. Chang, K. Lee, K. Toutanova, "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding," Proceedings of NAACL, 2019.
6. L. Zhang, M. Chen, "Deep Learning-Based Job Matching Using Semantic Embeddings and Cosine Similarity," IEEE Transactions on Neural Networks and Learning Systems, 2021.
7. D. Paparrizos, J. Cambazoglu, A. Gionis, "Machine Learned Job Recommendation," ACM Conference on Recommender Systems (RecSys), 2011.
8. R. Mehta, S. Iyer, "AI-Based Skill Gap Detection and Personalized Learning Recommendations for Career Development," International Journal of Artificial Intelligence in Education, 2023.
9. K. Lee, J. Park, "Explainability in AI-Driven Recruitment: Building Candidate Trust Through Transparent Match Reports," ACM Conference on Fairness, Accountability, and Transparency, 2022.
10. H. Wang, Y. Liu, "Impact of Applicant Tracking Systems on Candidate Success Rates and Resume Optimization," Journal of Human Resource Technology, 2023.
11. T. Mikolov, I. Sutskever, K. Chen, G. Corrado, J. Dean, "Efficient Estimation of Word Representations in Vector Space," arXiv, 2013.
12. F. Pedregosa et al., "Scikit-learn: Machine Learning in Python," Journal of Machine Learning Research, 2011.
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