AI
Artificial Intelligence for shortlisting applicants
Plain Concepts developed a process based on Artificial Intelligence (AI) to automatically screen the most suitable applicants for a job offer through an automated classification that classified applicants into two categories: suitable and unsuitable.
The main objective of the project was to use AI techniques to automate part of the selection processes. Additionally, efforts were made to provide a parallel process that would reuse the existing models with the arrival of new data, so that the solution could evolve according to the new features of potential scenarios.
CLIENT
Infojobs Brasil
Industry
Legal Services
Retail
Services
Artificial Intelligence
Technology
Machine Learning, Azure ML
In the field of Artificial Intelligence, a classification problem consists of identifying under which category falls an observation, based on a set of data containing observations whose category is already known. To do this, we used a 180 Gb dataset containing data corresponding to different categories, such as: logistics, administration, arts, fashion, etc. To that end, we created as many models as categories with the aim of making the models as specific as possible in order to obtain a deep and precise classification of the applicants.