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- Vol. 5 Issue 6
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AI-Powered Automated Resume Screening System
Authors
1 Professor, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India. 2 3 4 Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India.
Article Information
- Published In
- Volume 5, Issue 6 (2025)
- Published Online
- November-December 2025
- Pages
- 113-116
- Article Type
- Original Article
- Check for updates
-
References
1. Zheng, F. et al., "From Bias to Brilliance: Debiasing Resume Screening Systems," IEEE Transactions on Engineering Management, 2024.
2. Hakim, F., "Enhanced Resume Matching using Weighted Semantic Analysis, "International Journal of Al Applications, Springer, 2022.
3. Singh, A, Sharma, Pa, "NLP-Powered ATS for Scalable Resume Filtering.,"" Journal of Emerging Technologies in Computing, Elsevier, 2020.
4. Kumar, R. et al., "Automated Candidate Evaluation with Feedback Generation," ACM AC Conference Proceedings, 2021.
5. T. Joachims, “Text categorization with Support Vector Machines: Learning with many relevant features,” ECML, pp. 137–142, 1998.
6. J. Devlin, M. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” NAACL, pp. 4171–4186, 2019.
7. Google AI, “Gemini API Documentation,” Accessed: Feb. 2025. [Online]. Available: https://ai.google.dev
8. Indeed Hiring Lab, “Global Talent Market Research Report,” 2024.
9. P. Gupta and A. Verma, “A survey of resume parsing techniques for automated recruiting,”IJERT, vol. 12, no. 3, pp. 512–518, 2023.
10. MongoDB Inc., “MongoDB Technical Overview,” 2024. [Online]. Available:https://mongodb.com/docs
11. OpenAI, “Natural Language Processing Model Benchmarks,” White Paper, 2024.
12. M. Bastian, M. Heymann and M. Jacomy, “Skill extraction using semantic similarity,”ACM Conference on Data Science, pp. 110–116, 2020.
13. LinkedIn Economic Graph Report, “The Future of Hiring,” 2024. [Online]. Available: https://economicgraph.linkedin.com
14. S. Bird, E. Klein and E. Loper, Natural Language Processing with Python, O’Reilly Media, 2023.
15. IBM Corp., “Ethical AI in Talent Acquisition,” IBM Whitepaper, 2023.
16. S. Khurana, A. Sharma and D. Jain, “AI-Driven ATS score improvement strategies,” Journal of Emerging Technologies and Innovative Research, vol. 11, no. 5, pp. 1240–1250, 2024.
17. Stack Overflow Community, “Developer Skills Surveys,” Accessed: Feb. 2025. [Online]. Available: https://survey.stackoverflow.co
18. D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2022.
19. Microsoft Azure, “Responsible AI in Enterprise Hiring Systems,” Azure Technical Guide,2024.
20. S. Das and N. Sharma, “Bias mitigation in AI-assisted recruitment systems,” IEEE Access,vol. 10, pp. 72050–72061, 2022.
2. Hakim, F., "Enhanced Resume Matching using Weighted Semantic Analysis, "International Journal of Al Applications, Springer, 2022.
3. Singh, A, Sharma, Pa, "NLP-Powered ATS for Scalable Resume Filtering.,"" Journal of Emerging Technologies in Computing, Elsevier, 2020.
4. Kumar, R. et al., "Automated Candidate Evaluation with Feedback Generation," ACM AC Conference Proceedings, 2021.
5. T. Joachims, “Text categorization with Support Vector Machines: Learning with many relevant features,” ECML, pp. 137–142, 1998.
6. J. Devlin, M. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” NAACL, pp. 4171–4186, 2019.
7. Google AI, “Gemini API Documentation,” Accessed: Feb. 2025. [Online]. Available: https://ai.google.dev
8. Indeed Hiring Lab, “Global Talent Market Research Report,” 2024.
9. P. Gupta and A. Verma, “A survey of resume parsing techniques for automated recruiting,”IJERT, vol. 12, no. 3, pp. 512–518, 2023.
10. MongoDB Inc., “MongoDB Technical Overview,” 2024. [Online]. Available:https://mongodb.com/docs
11. OpenAI, “Natural Language Processing Model Benchmarks,” White Paper, 2024.
12. M. Bastian, M. Heymann and M. Jacomy, “Skill extraction using semantic similarity,”ACM Conference on Data Science, pp. 110–116, 2020.
13. LinkedIn Economic Graph Report, “The Future of Hiring,” 2024. [Online]. Available: https://economicgraph.linkedin.com
14. S. Bird, E. Klein and E. Loper, Natural Language Processing with Python, O’Reilly Media, 2023.
15. IBM Corp., “Ethical AI in Talent Acquisition,” IBM Whitepaper, 2023.
16. S. Khurana, A. Sharma and D. Jain, “AI-Driven ATS score improvement strategies,” Journal of Emerging Technologies and Innovative Research, vol. 11, no. 5, pp. 1240–1250, 2024.
17. Stack Overflow Community, “Developer Skills Surveys,” Accessed: Feb. 2025. [Online]. Available: https://survey.stackoverflow.co
18. D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2022.
19. Microsoft Azure, “Responsible AI in Enterprise Hiring Systems,” Azure Technical Guide,2024.
20. S. Das and N. Sharma, “Bias mitigation in AI-assisted recruitment systems,” IEEE Access,vol. 10, pp. 72050–72061, 2022.
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