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
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
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.
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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