Engineering Graduate Salary Prediction System

Abstract

 This paper introduces the Engineering Graduate Salary Prediction System, an innovative web-based application employing linear regression to forecast the salaries of engineering graduates with a high degree of accuracy. By integrating a wide range of parameters including academic performance, gender, college details, and specialization, the system offers tailored salary estimations, providing invaluable insights into the financial outlook for engineering professionals. Through rigorous model training and comprehensive experimental evaluations, the system's effectiveness in predicting salaries is demonstrated, highlighting its potential as a vital resource for both graduates and employers in the engineering sector. The system's user-friendly interface and transparent methodology enhance its usability as a decision-support tool, empowering graduates to make informed career choices and negotiate equitable compensation packages. Furthermore, by facilitating a more transparent and efficient hiring process, the system contributes to fostering a fair and competitive job market within the engineering industry. Overall, this research represents a significant step forward in the field of salary prediction, offering practical solutions to address the evolving needs of engineering graduates in today's dynamic employment landscape.