International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 04 | Apr 2022
p-ISSN: 2395-0072
www.irjet.net
Personality Prediction with CV Analysis Rutuja Narwade [1], Srujami Palkar [2], Isha Zade [3], Asst Prof. Nidhi Sanghavi [4] [1], [2], [3]
Student, Department of Computer Engineering, Atharva College of Engineering, Mumbai Assistant Professor, Department of Computer Engineering, Atharva College of Engineering, Mumbai ---------------------------------------------------------------------***--------------------------------------------------------------------[4]
Abstract - When it comes to the study of humans,
1.1 MOTIVATION OF THE PROJECT
adjudicating one’s personality is important as it acts as a window to deciphering the individual’s mindset. The personality is a vital part of an individual when he/she works for a complex organization. There are several ways to determine an individual’s personality but the most soughtafter and direct method is through a simple quiz. The questions in the quiz are framed in a way that they take values with reference to the big five personality model and aid the developer in framing a personality report of the individual in question. When we take a look at the current process of hiring and selection that various organizations make use of, the employers often pick out CVs in a manual way which is monotonous, time-consuming, and consumes a lot of human resources. Our approach is rendering a system that motorizes the eligibility check and aptitude evaluation of an applicant in the selection process. To target the drawbacks of the traditional recruitment system, a web application that analyzes both the personality and an individual’s CV has been curated.
Looking at the traditional way to go about the hiring and selection of the candidate(s), there are certain crucial observations to take note of. To state some of them: The process is time-consuming, not energy efficient (requires a team of professionals to filter through the CVs and make a sound judgment), there is a high probability of making an error in judgment of the candidate and also a high probability in an unfair selection of the candidate. Tackling these flaws of the traditional system is the main goal of this project. 1.2 BASIC CONCEPT Our system gives an overall result of the candidate(s) on a psychological and professional level. To provide a smooth assessment process, our model makes use of the logistic regression algorithm and NLTK (Natural Language Toolkit). To ensure the safety of the user’s data, we are using firebase as our backend service to provide authentication and safe storage.
Key Words: Personality Prediction, Logistic Regression,
2. BACKGROUND STUDY
CV Analysis, Machine Learning, Natural Language Processing, Big Five Personality Model (OCEAN), Psychometric Analysis, Recruitment Process.
The basic concept of this project came from a background study of [2] Automated Personality Classification using Data Mining Techniques paper written by Manasi Ombhas, Prajakta Gogate, Tejas Patil & Karan Nair. They have used the concept of data mining to classify the different personalities of individuals. Our objective is to predict an individual’s personality using logistic regression rather than just categorizing the personality. In addition, we also integrated the predicted personality with the technical skills of the individual using CV analysis with the help of Natural Language Processing.
1. INTRODUCTION The traditional recruitment process is a pretty timeconsuming and tedious process. When it comes to hiring an individual, it is very important to make a sound and fair decision so that it is in the best interest of the applicant as well as the employer. The traditional recruitment process consists of aptitude tests, technical tests, group discussions, and HR interviews. With the curated system, the process has been transformed into a compact one with the same precision or even more as for that matter. The traditional process of hiring and selection may not always make a fair decision as an end result. With the help of the proposed system, the probability of making fair decisions increases by leaps and bounds. The proposed system makes use of Logistic Regression, Natural Language Toolkit, Flask, and Firebase for smooth and efficient deployment. The main methodology behind the personality questionnaire is the Big Five Personality Model which makes use of the OCEAN values namely, “Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism for predicting an individual’s personality.
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3. LITERATURE SURVEY 3.1 LOGISTIC REGRESSION Logistic Regression is a type of statistical analysis often used for predictive analytics and modeling and extends its applications in machine learning. The use of Logistic Regression is mostly in statistical software to understand the relationship between the dependent variable and one or more independent variables by estimating probabilities using a logistic regression equation. The proposed framework has different modules for different functions. The role of logistic regression in the proposed framework is to
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