RealCV - An AI-Powered Resume Generator
The current job market is rapidly evolving and the recent advances in AI are making the marketplace extremely competitive. Such dynamic job market and associated complexities often obscure the matching process between qualified job seekers and suitable opportunities, particularly during the resume building and job application phases. This RealCV research and the system developed describe the use of a Large Language Model (LLM) to address these disconnects by automating and refining the customization of resumes. Unlike traditional systems that rely on keyword matching, this approach aims to effectively translate academic achievements and other nonconventional experiences into industry-relevant competencies. Using an LLM, our system automatically converts academic CVs into industrial resumes. RealCV will facilitate a deeper understanding of candidates' capabilities, potentially transforming recruitment paradigms and career transitions. The system builds upon our past work, COVID CV [1], in assisting individuals to highlight their “invisible” skills and their mappings to the “soft skills” that are significantly valued in the industry, thereby, providing appropriate matches between the job requirements and seekers' credentials.
Authors
- Aaron Ganci (ORCID: https://orcid.org/0000-0002-7121-559X)
- Rajeev R. Raje
- Md. Akhtaruzzaman Khan (ORCID: https://orcid.org/0000-0002-2968-0375)
- Rachel Wheeler (ORCID: https://orcid.org/0000-0002-8430-7856)
- M. V. Kulkarni
Institutions
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1109/eit64391.2025.11103614
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00