PREDICTIVE ANALYSIS OF JOB RECRUITMENT USING MACHINE LEARNING APPROACH

Abstract

The main objective of Predictive Analysis for Job Recruitment using Machine Learning Approach project is to create a web portal that can predict the probability of candidate getting job in particular company. This project could help students to know whether they will get job or not and even company can use this project to know the chances of candidate getting job. The placement dataset has been considered, which is taken from Kaggle and the proposed system uses Support Vector Machine (SVM) algorithm to achieve the objective. Some of the Classification methods such as logistic regression, decision tree classifier, support vector machines, random forest classifier, KNN and Naïve bayes are implemented to check the accuracy and efficiency and it is noticed that SVM gives 91% of accuracy. Hence SVM algorithm is used to train the prediction model. Input to the system will be a text/query given by the candidate or a student and the resulting output will be a probability of getting job generated by the system.