• Ms. Thanushree K V
• Ms. Pavithra Rao A
• Mr. Shravan D Shetty
• Rahul J
• Prof. Kavitha

The employee attrition prediction presented in this study intends to help organizations deal with the problem of retaining talent by creating a machine learning model to forecast employee attrition. Through the examination of variables such as work-life balance, job role, pay, and performance reviews, the model will predict the probability of employee turnover. The intention is to give companies the information they need to take preventative measures to lower employee attrition and raise satisfaction levels. Preprocessing, feature selection, and a variety of machine learning techniques, including logistic regression, decision trees, and random forests, are all part of the solution, which uses an attrition data dataset. As a result, businesses will have a predictive tool to help them find employees who are at risk and put retention plans in place.

Employee Attrition, Machine Learning, Predictive Modelling.

"AI-POWERED PREDICTING EMPLOYEE ATTRITION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.787-789, July-2025, Available :http://www.jetir.org/papers/JETIRGX06147.pdf

"AI-POWERED PREDICTING EMPLOYEE ATTRITION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp787-789, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06147.pdf