Skill-Based Job Role Suggestion Using Machine Learning

As scholars are going through their academics and chasing their courses, they need to impose their credentials and identify their interests so that they will get to know in which career field their interests and credentials will put them. This will help them enhance their performance and motivate their interests so that they will be directed towards their targeted career and get settled in that. Also, recruiters while retaining campaigners after assessing them in all different aspects, these kinds of career recommender systems help them decide which job part the seeker should be kept grounded on his/ her performance and other evaluations. Skill-based job role suggestion systems play a crucial role in modern recruitment processes by leveraging machine learning algorithms to match candidates with suitable job roles based on their skills and qualifications. This paper provides a comprehensive review of existing literature on skill-based job role suggestion systems, focusing particularly on machine learning algorithms and decision tree-based approaches, as well as the K-Nearest Neighbors (KNN) algorithm.