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@article{185672,
        author = {CHINNI MAHESH and S Priyanka},
        title = {AI-AUTONOMOUS HR AGENT: AN INTELLIGENT WEB-BASED SYSTEM FOR RECRUITMENT, EMPLOYEE MANAGEMENT, PAYROLL AND LEAVE AUTOMATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {2439-2442},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185672},
        abstract = {AI-Autonomous HR Agent, a web-based intelligent system that automates core human-resource processes — recruitment, employee management, payroll, and leave management — using a combination of rule-based modules and AI components (NLP chatbot and ML models). The system integrates a Node.js backend, PostgreSQL database, and an OpenAI-powered conversational agent to provide natural-language interactions for HR tasks, resume screening, candidate ranking, automated pay slip generation, and leave approval automation. We present system architecture, dataflow, implementation details, evaluation metrics, and experiments demonstrating improvements in response time, screening accuracy, and operational efficiency compared with manual HR workflows. Results from a simulated dataset show the platform reduces average candidate screening time and improves candidate-match ranking precision. The paper concludes with limitations and directions for future work such as multi-lingual support, fairness-aware ML, and full deployment evaluation in production HR environments.},
        keywords = {Artificial Intelligence, HR Automation, Recruitment, Natural Language Processing, Node.js, PostgreSQL, Chatbot.},
        month = {October},
        }