  In day-to-day life, a highly demanding task for IT companies is to find the
right candidates who fit the companies' culture. This research aims to
comprehend, analyze and automatically produce convincing outcomes to find a
candidate who perfectly fits right in the company. Data is examined and
collected for each employee who works in the IT domain focusing on their
performance measure. This is done based on various different categories which
bring versatility and a wide view of focus. To this data, learner analysis is
done using machine learning algorithms to obtain learner similarity and
developer similarity in order to recruit people with identical working
patterns. It's been proven that the efficiency and capability of a particular
worker go higher when working with a person of a similar personality. Therefore
this will serve as a useful tool for recruiters who aim to recruit people with
high productivity. This is to say that the model designed will render the best
outcome possible with high accuracy and an immaculate recommendation score.
