HUMAN CENTRIC AI-BASED CANDIDATE RECRUITMENT PLATFORM

This research presented an AI-Based Intelligent Recruitment and Candidate Assessment System designed to improve the efficiency, accuracy, and fairness of the recruitment process. Traditional hiring methods often rely heavily on manual resume screening and subjective interview evaluations, which can be time-consuming and may not provide a complete understanding of a candidate’s potential. To overcome these limitations, the proposed system integrates Artificial Intelligence, Machine Learning, Natural Language Processing, Speech Analysis, and Computer Vision techniques to perform a comprehensive assessment of applicants. The system evaluates candidates through multiple stages, including resume analysis, interview assessment, voice analysis, facial expression recognition, behavioral analysis, and final decision-making. By combining these evaluation methods, the system is able to assess both technical qualifications and behavioral characteristics, providing a more holistic view of candidate suitability. This approach helps organizations identify talented individuals more effectively while reducing the influence of human bias and improving consistency in hiring decisions. The proposed framework demonstrates the potential of AI-driven technologies to automate various recruitment activities and support recruiters with data-driven insights. The integration of multiple assessment modules enables a deeper understanding of candidate competencies, communication abilities, confidence levels, and professional behavior. As a result, the system contributes to improved hiring quality, reduced recruitment time, and enhanced organizational productivity. Overall, the proposed AI-based recruitment system offers a reliable and intelligent solution for modern talent acquisition. It not only simplifies the candidate evaluation process but also promotes objective and transparent hiring practices. Future enhancements may include advanced deep learning models, real-time emotion recognition, adaptive interview generation, and continuous learning mechanisms to further improve system performance and recruitment effectiveness. The research highlights the growing importance of Artificial Intelligence in human resource management and its potential to transform the future of recruitment.

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