HR Functions Productivity Boost by using AI
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Abstract
In today's fast-paced world, the Human Resources (HR) department plays a pivotal role in the success of any organization. With a plethora of tasks to manage, the HR team often faces the daunting challenge of screening and selecting the best candidates for various positions. To streamline this process, we propose a novel system that integrates the power of Kruskal algorithm for resume screening, conducting a qualifying test called "BTNT," and psychological testing like Emotional Intelligence to analyze the shortlisted candidates. Our proposed system utilizes a Knapsack approach under Dynamic Programming to suggest the most suitable candidates for HR roles. By automating these tedious HR tasks through Artificial Intelligence (AI), we ensure a faster, more accurate, and cost-effective selection process.
Our research paper presents a detailed analysis of the proposed system's effectiveness and showcases the benefits of adopting this innovative approach. We believe that this cutting-edge system will revolutionize the HR industry by providing an efficient, objective, and unbiased selection process. The BTNT test's incorporation will help identify candidates' technical skills, while the psychological test will highlight their soft skills. This holistic approach ensures that organizations not only hire the best-fit candidates but also create a positive work environment that fosters growth and development. Our research paper is a must-read for any HR professional looking to optimize their recruitment process and gain a competitive edge in the market. With our proposed system's implementation, companies can attract and retain top talent, improve employee productivity, and ultimately increase their efficiency.
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References
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