SATYA: Smart AI-driven Talent Yield Analyzer for Resume Screening and Recommendation Evaluation

The hiring process is becoming increasingly complex, as HR departments are overwhelmed with large volumes of resumes and recommendations that require in-depth analysis. This paper presents SATYA (Smart AI-driven Talent Yield Analyzer), a comprehensive AI system that automates the resume screening process, validates recommendations, and enhances the accuracy of talent acquisition. By leveraging Natural Language Processing (NLP), Machine Learning (ML), and graph-based algorithms, SATYA assesses resumes, verifies skill claims, evaluates recommendation credibility, and generates final candidate scores. Trained on a dataset of 1000 resumes manually scored by HR experts, SATYA achieved an accuracy of 91.4%, significantly outperforming traditional resume screening methods. This paper describes the architecture of SATYA, detailing the resume scoring model, recommendation network analysis, skill validation process, and multi-objective candidate evaluation. The system's scalable design ensures that it can be integrated into existing Applicant Tracking Systems (ATS) to improve talent acquisition efficiency.