International Journal of Computer Techniques Volume 12 Issue 3 | Smart Resume Analyzer: Enhancing Fresher’s Eployability Through AI Smart Resume Analyzer: Enhancing Freshers’ Employability Through AI
Smart Resume Analyzer: Enhancing Freshers’ Employability Through AI
International Journal of Computer Techniques – Volume 12 Issue 3, May – June 2025
Abstract
The **Smart Resume Analyzer** utilizes **Natural Language Processing (NLP) and machine learning** to efficiently screen fresher resumes, matching them with **predefined job descriptions**. The system extracts **key information**, detects grammatical errors, and provides **constructive feedback** to optimize applications, improving hiring quality and recruiter efficiency.
Keywords
Smart Resume Analyzer, AI recruitment, automated hiring, resume evaluation, NLP, machine learning, job application analysis.
Conclusion
The **AI-driven Smart Resume Analyzer** improves fresher employability by aligning **resume structure, content accuracy, and linguistic quality** with hiring requirements. It enhances **recruitment scalability, minimizes screening bias, and ensures consistency**. Future improvements include **multilingual support, domain-specific customization, and ATS integration** for enterprise-level hiring.
References
- B. Kinge, S. Mandhare, P. Chavan, & S. M. Chaware (2022). “Resume Screening using Machine Learning and NLP: A Proposed System.” Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol.
- C. Daryani, G. S. Chhabra, H. Patel, I. K. Chhabra, & R. Patel (2020). “An Automated Resume Screening System Using NLP and Similarity Measures.” Ethics and Information Technology.
- S. Amin et al. (2019). “Web Application for Screening Resumes.” Proc. Int. Conf. Nascent Technol. Eng. (ICNTE).
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