• S Srikanth
• Pooja Ramannavar
• Dr Anupama K Malagi

Artificial intelligence in other words is also called as machine intelligence. Artificial intelligence or machine intelligence is nothing but the machine which demonstrates their intelligence in contradiction to the natural intelligence displayed by any human or other animals it is designed in such a way that it thinks and acts very similar to human beings it works through a great technology where a big data is set which runs through AI algorithms such as neural network which then produces a model that provide answer like a real human the answer which it gives all depends on what it has been learnt about the matter which is set as a data. Recruitment is a selection process that a company or any organizations do in order to select the best candidate in this competitive world. Recruitment being the important process for any of the company where it gives the best resource for the company which adds up in building the company into peak performance . It is very essential that this process should undergo in a very effective way with very less errors. Artificial intelligence the newly emerging technology, where it contributes its own features in the process of recruitment. In this paper we have tried to bring out the major scope of the artificial intelligence in the process of recruitment and how the engagement between the candidate and the company can be built using this technology.

Keywords- Artificial intelligence, machine learning, AI algorithms, recruitment

"ARTIFICAIL INTELLIGENCE IN THE PROCESS OF RECRUITEMENT: A CONCEPTUAL PAPER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.242-244, June 2019, Available :http://www.jetir.org/papers/JETIR1908340.pdf

"ARTIFICAIL INTELLIGENCE IN THE PROCESS OF RECRUITEMENT: A CONCEPTUAL PAPER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp242-244, June 2019, Available at : http://www.jetir.org/papers/JETIR1908340.pdf