Authors :
Dr. Satish Kumar S; Abhista V; Chiraag S; M Deepak; N S Shreehari
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/f9baussf
DOI :
https://doi.org/10.5281/zenodo.14444489
Abstract :
Locating appropriate expertise is a prime
venture for organizations. Our version uses Natural
Language Processing (NLP) to extract and analyze
portfolio info, ranking them based on corporation
necessities. By way of parsing crucial statistics like
education, enjoy, and initiatives, we purpose to streamline
hiring. We plan to increase a activity portal for employers
and applicants to upload Portfolio, where NLP algorithms
will create structured smart work portfolio evaluation for
better Hiring and rank applicants consistent with the
specified skill units, improving recruitment performance.
Keywords :
Natural Language Processing (NLP), Smart Work Portfolio Evaluation, NLP Algorithms, Automated Diagnosis, Tumor Detection, Predictive Analytics, Medical Imaging.
References :
- Giri Sougandh, et al., “Automated Resume Parsing: A Natural Language Approach,” in 7th International Conference on CS and IT, IEEE, 2023.
- Anushka Sharma, et al., “Intelligent Recruitment System Using NLP,” in International Conference on AI and ML, IEEE, 2021.
- Thangaramya, Logeshwari, et al., “Automated Resume Parsing and Ranking Using NLP,” in 3rd International Conference on IoT, IEEE, 2024.
- Sharma, Anushka, Smiti Singhal, and Dhara Ajudia, “Intelligent Recruit- ment System Using NLP,” in 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), pp. 1-5, IEEE, 2021.
- Bhardwaj, Bhavya, Syed Ishtiyaq Ahmed, J. Jaiharie, R. Sorabh Dad- hich, and M. Ganesan, “Web Scraping Using Summarization and Named Entity Recognition (NER),” in 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), vol. 1, pp. 261-265, IEEE, 2021.
- Chandraghandi, Shilpa, Anamika, Kamalakkannan, Santhoshsivan, “Re- sume Screening Using TF-IDF,” in International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), 2022.
- Bhushan Kinge, Shrinivas, Pranali Chavan, S.M. Chaware, “Resume Screening Using Machine Learning and NLP,” in International Journal of Scientific Research in Computer Science Engineering and Information Technology (IJSRCEIT), 2022.
- Alkaeshwar Jivtode, Kisan Jadhav, Dipali Kandhare, “Resume Analysis Using Machine Learning and NLP,” in International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 2023.
- Riza Tanaz, Rajath, Sharadadevi, “Resume Classification and Ranking Using KNN and Cosine Similarity,” in International Journal of Engi- neering Research and Technology (IJERT), 2021.
- PrislyMary Jacob, Susan Jacob, Jo Cheriyan, LekshmiS Nair, “ResumAI: Revolutionizing Automated Resume Analysis and Recommendation with Multi-Model Intelligence,” in IEEE, 2023.
- Jayshri Mankar, Abhishek Chauhan, Aniket Gophane, Aditya Karle, Taslimarif Makandar, Akshay Funde, “AI Resume Analyzer Using Natural Language Processing and Data Mining,” in International Con- ference on Recent Trends in Engineering, Technology and Management (ICRETETM), 2024.
- Ashvini Chavan, Nikita Tatewar, Pavina Naicker, Prof. Sareeka Deore, “AI Resume Analyzer,” in International Journal of Creative Research Thoughts (IJCRT), 2023.
Locating appropriate expertise is a prime
venture for organizations. Our version uses Natural
Language Processing (NLP) to extract and analyze
portfolio info, ranking them based on corporation
necessities. By way of parsing crucial statistics like
education, enjoy, and initiatives, we purpose to streamline
hiring. We plan to increase a activity portal for employers
and applicants to upload Portfolio, where NLP algorithms
will create structured smart work portfolio evaluation for
better Hiring and rank applicants consistent with the
specified skill units, improving recruitment performance.
Keywords :
Natural Language Processing (NLP), Smart Work Portfolio Evaluation, NLP Algorithms, Automated Diagnosis, Tumor Detection, Predictive Analytics, Medical Imaging.