MARG-DARSHAK: A Machine Learning Approach for Career Prediction

Choosing a suitable career is one of the most crucial decisions, and with the growing number of career options and opportunities, it has become quite challenging for job seekers to make this decision. However, available resources, such as career counsellors, are often limited in number and costly, making it difficult for all students to access them. To address this issue, we propose a career prediction model that utilizes three machine learning algorithms, namely KNN, SVM, and SGD. After conducting experiments on a dataset, we found that SVM outperforms the other two classifiers with an accuracy of 99.62