Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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AI Based Talent Management System

Authors
M. Shiva Kumar1, *, C. J. Vishnu Prakash1, Muaaz Mohammed Muneer1, Ganta Nihsal1
1Department of Computer Science and Engineering, CMR College Of Engineering & Technology, Hyderabad, Telangana, India
*Corresponding author. Email: shivavasu2357@gmail.com
Corresponding Author
M. Shiva Kumar
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_112How to use a DOI?
Keywords
AI-Based Talent Management; Recruitment Automation; Machine Learning in HR; Natural Language Processing (NLP); Vector Embeddings; Resume Parsing; Semantic Search
Abstract

The recruitment industry is evolving rapidly with the integration of artificial intelligence (AI) to streamline hiring processes. This paper presents an AI-Based Talent Management System that enhances recruitment and candidate matching by leveraging machine learning, natural language processing (NLP), and vector embeddings. The system supports both recruiters and applicants, providing features such as resume parsing, semantic search, and AI-driven candidate ranking. It employs OCR, Named Entity Recognition (NER), Retrieval- Augmented Generation (RAG), and similarity search to efficiently match job descriptions with candidate profiles. Additionally, web scraping techniques extract job market trends to improve recommendations. The experimental results demonstrate that our AI model significantly improves job-candidate matching accuracy, making hiring faster, more efficient, and data-driven.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_112How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - M. Shiva Kumar
AU  - C. J. Vishnu Prakash
AU  - Muaaz Mohammed Muneer
AU  - Ganta Nihsal
PY  - 2025
DA  - 2025/11/04
TI  - AI Based Talent Management System
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1347
EP  - 1359
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_112
DO  - 10.2991/978-94-6463-858-5_112
ID  - Kumar2025
ER  -