Automation of Candidate Hiring System Using Machine Learning


Authors : Joel Silas; Pranali Udhan; Prajakta Dahiphale; Vaibhav Parkale; Dr. Poonam Lambhate

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/402ZXWk

DOI : https://doi.org/10.5281/zenodo.7824684

The placement season is a very overwhelming duration for every job aspirant. This phase also involves anxiety due to the transition from academic to professional life. Not only the candidates but also the companies consider this period to have immense significance. They desire to hire the best candidates with the required skillset, mental and physical ability and commendable personality. Deserving and skilled candidates who will definitely be an asset to the organisation must be hired. In today’s rat race not only qualifications but also the personality and soft skills of the candidate are considered to decide whether the candidate is eligible or not. The candidate’s social media profile will help analyse his/her personality, thoughts and ideologies. Hence, a final eligibility score for each candidate will help the company decide that whether the candidate must be hired or not.

Keywords : Ideal Candidate, Hiring, Personality Prediction, Emotions, Ideologies, Eligibility, Employment, Interview.

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Paper Submission Last Date
30 - April - 2024

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