Strategic Workforce Management Using Ai Based Attrition Prediction

Abstract

Employee attrition is a major challenge
faced by organizations, as high employee
turnover leads to increased recruitment
costs, productivity loss, and
organizational instability. Traditional
methods of analyzing employee attrition
rely on manual analysis and basic
statistical techniques, which often fail to
predict employee behavior accurately.
This project proposes an AI-driven
Employee Attrition Prediction system
using HR Analytics. The system utilizes
machine learning algorithms to analyze
employee-related data such as job role,
salary, experience, work-life balance,
performance, and satisfaction levels. By
identifying patterns and key factors
influencing employee turnover, the
system predicts the likelihood of employee
attrition. This helps HR departments take
proactive measures to retain valuable
employees, reduce costs, and improve
workforce planning