Today's corporate world focuses not only on the set of skills of the potential employees, but also on their respective personality. Personality helps you succeed in both your professional and personal life. Therefore, recruiters need to be aware of an individual's personality trait. While the number of job seekers is increasing exponentially, the number of positions is declining, making it difficult to manually add the best candidate for the right position to the candidate list by looking at your resume. This article explores a variety of machine learning approaches to efficiently predict the personality by the usage of Natural language processing (NLP) technology. The results showcase that Random-forest achieves higher accuracy than several other algorithms i.e. KNN, SVM and Naive Bayes. This system can be used in many business areas / areas that may require professional candidates. This system reduces the workload of the department (general workers, employment, and training and dismissal department).