Malleswar Rao, P Bhanu Prakash, P Fairoz khan, R Prem Kumar, M Surekha 03 09 The HRAnalytics Recruitment Tracker is a datadriven system designed to simplify and improve the management of the employee recruitment process Recruitment involves handling a large amount of information related to job openings candidates applications interviews selections and joining status Managing this information manually can be timeconsuming and may make it difficult for HR teams to track recruitment progress and evaluate hiring performance The proposed system collects and organizes recruitment data in a centralized platform and provides realtime tracking and analysis of hiring activities Important parameters such as job position department candidate status application source interview stage selection status hiring time and recruitment cost can be monitored The system uses data analytics and visualization techniques to generate meaningful insights from recruitment data An interactive HR dashboard can display key performance indicators such as total applicants shortlisted candidates interviews conducted selected candidates rejected candidates open positions and hiring conversion rate Charts and graphs can also be used to analyze recruitment trends by department job role recruitment source and time period This helps HR professionals identify successful recruitment channels and areas requiring improvement The system provides a centralized and systematic way to track candidates throughout the recruitment lifecycle from application to final selection and joining It reduces manual record keeping improves data accessibility and supports faster decisionmaking Overall the HRAnalytics Recruitment Tracker provides an efficient and userfriendly solution for recruitment monitoring and workforce planning It can be further enhanced with AIbased candidate screening recruitment forecasting automated interview scheduling resume analysis predictive hiring analytics and automated notifications to make the recruitment process more intelligent and efficient Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026