Personality-Prediction Through CV Using Machine Learning

Abstract

This system can be used in many business parts/areas that may require expert candidates. This system will reduce the workload of the organization. Admin can easily shortlist a candidate based on their personality scores and select the appropriate candidate for a particular job profile. Using **Natural Language Processing (NLP)** can be defined as a process that enables a machine to become more like a human, because of this deeply cutting the distance between machines and humans. This system will focus not only on qualification and inexperience but also focuses on other important aspects, which are needed/demanded for a particular job position. Admin can store the data in excel sheet for further comparison and sorting of data. Personality prediction is a crucial aspect of various domains, including recruitment, career counseling, and personal development. This project aims to develop a machine learning-based system that predicts an individual’s personality traits by analyzing their resume (CV). classify personality types based on the Big Five Personality Traits (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism). The methodology involves data preprocessing techniques such as tokenization, stopword removal, and word embeddings to convert textual information into structured numerical data. Various machine learning algorithms, including Random Forest, Support Vector Machine (SVM), and Neural Networks, are trained and tested to identify the most effective model for personality prediction. The dataset comprises labeled resumes with corresponding personality attributes, which are used to train the models. Evaluation metrics such as accuracy, precision, recall, and F1-score help assess model performance.