Personality Driven Hiring: Advance Machine Learning Model

Authors: Pallavi Patil, Dishant Bhaskar, Meghana Chaudhary, Vishal Markad, S.N. Bhadane

Country: India

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Abstract: The Smart Hire Personality Prediction System is a specialized platform designed for Super Admins and Students/Users, aimed at streamlining the recruitment process. Its primary function is to assess the personality traits and skills of users through a specialized Multiple Choice Question (MCQ) examination, which covers five distinct traits. This assessment empowers users to gain valuable insights into their own abilities and aids them in making well-informed career decisions.

The system utilizes the assessment results to generate personalized recommendations, suggesting suitable career paths or skill enhancement opportunities. In addition, it produces detailed reports based on the assessment data, providing users and Super Admins with valuable insights for decision-making.

For Super Admins, the system offers a dashboard for managing user accounts, tracking engagement, and accessing aggregated, anonymized results and reports. This feature assists Super Admins in refining their recruitment strategies.

The overarching goal of the Smart Hire Personality Prediction System is to enhance the efficiency and effectiveness of the recruitment process by aligning individual aspirations with skill evaluations. This approach fosters better career choices and contributes to the overall quality of hiring decisions. However, the system faces challenges in terms of developing accurate assessment methods, ensuring data security, and creating an engaging user experience to ensure its success.

Keywords: Hire, MCQ, SVM, Machine Learning

Paper Id: 230357

Published On: 2023-11-05

Published In: Volume 11, Issue 6, November-December 2023

Cite This: Personality Driven Hiring: Advance Machine Learning Model - Pallavi Patil, Dishant Bhaskar, Meghana Chaudhary, Vishal Markad, S.N. Bhadane - IJIRMPS Volume 11, Issue 6, November-December 2023.

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