International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 13 Issue: 02 | Feb 2026
p-ISSN: 2395-0072
www.irjet.net
AN AI-DRIVEN FRAMEWORK FOR AUTOMATED HUMAN RESOURCE MANAGEMENT Sai Vishwas.M 1, Karthik Reddy.V 2, Rishitha.S 3, Mahendar.P 4 1234Department of Information Technology, TKR College of Engineering and Technology, Telangana, India
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Abstract - Modern HR departments often struggle with
HR teams, improves decision-making accuracy, eliminates document fraud, and enhances communication between employees and management. This innovative solution aims to deliver faster, smarter, and reliable HR operations while contributing to overall business productivity and growth.
challenges such as manual resume screening, document fraud, inefficient task allocation, and repetitive employee queries. These issues slow down operations and reduce overall productivity. To overcome these limitations, this project proposes an AI-Powered HR Automation System that integrates Agentic Artificial Intelligence, Blockchain based verification, workflow automation, and an intelligent HR Chatbot into a unified platform. The system automates resume collection, performs AI-driven text extraction, and evaluates candidates against job descriptions to generate ranked shortlists. To ensure document authenticity, blockchain hashing is used for secure offer-letter storage and verification. A task scheduling and management module enables systematic assignment and tracking of HR activities, while the chatbot provides instant query responses, reducing HR workload. Built using React.js, Node.js, MongoDB, and Gemini AI services, the system ensures scalability, security, and ease of use. By combining intelligent automation with secure verification, the proposed solution enhances efficiency, accuracy, and transparency in HR operations, making it highly suitable for modern organizations.
1.1 Challenges in Traditional HR Management Systems Traditional Human Resource (HR) management systems rely heavily on manual and semi-automated processes for recruitment, documentation, and employee support. Resume screening is often performed manually, making it timeconsuming and prone to human bias and errors. As the number of applications increases, HR professionals struggle to efficiently evaluate candidates based on job-specific requirements. Additionally, verification of employee documents such as certificates and offer letters lacks a secure and tamper-proof mechanism, increasing the risk of document fraud. Task allocation and tracking are frequently handled using spreadsheets or disconnected tools, leading to inefficiencies and poor visibility into HR operations. Moreover, HR teams spend significant time responding to repetitive employee queries related to policies, leave, and onboarding, which reduces their focus on strategic activities. These challenges highlight the need for intelligent automation in modern HR systems.
Key Words: AI-Powered HR Automation, Agentic Artificial Intelligence, Resume Screening, BlockchainBased Verification, Workflow Automation, Intelligent HR Chatbot, Natural Language Processing, Secure Document Management.
1. INTRODUCTION Human Resource management is at the core of every organization, but traditional HR processes such as recruitment, document verification, employee communication, and task assignment often involve repetitive manual work, delays, and a higher possibility of errors. To improve the overall workflow efficiency, there is a growing need for intelligent automation solutions within HR systems. Our project proposes an AI-Powered HR Automation System, a unified digital platform that brings intelligence, automation, and data security together to modernize HR operations. The system focuses on four major capabilities: automated resume shortlisting using Agentic Artificial Intelligence, secure offer letter verification through Blockchain, smart task scheduling for employee work management, and an AI-based HR Chatbot for instant support and information access. By integrating these advanced technologies, the system reduces the workload on
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Fig -1: Challenges in Traditional HR Management Systems
1.2 AI-Driven and Blockchain-Enabled Automation Approach
HR
To address the limitations of conventional HR systems, the proposed solution introduces an AI-Powered HR Automation
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