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Minimizes the workload in screening process
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Increase in accuracy through semantic search
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Reduces time in screening the resume to make quick decisions

Client is an intergovernmental organization maintaining international peace and security, developing friendly relations among nations, achieving international co-operation, and being a center for harmonizing the actions of nations.

Client’s Challenges

Being an international organization, vacancy for any post attracts volumes of resumes. This makes it difficult for human resource department to screen through every resume, which takes several months to process. On top of this, accuracy was a big concern. This was a very annoying which made them look out for a solution to complete the screening process quickly.


The solution formed by Hubino uses computer vision to screen through volumes of resume which does not require human intelligence. It offers the ability to define criteria in the system like eligibility criteria, technologies, number of years of experience, Industries served, domain expertise and etc. Based on such criteria and using deep learning techniques, the screening engine parses every resume and categorizes it. This process automation helps saving in lot of time with lot more accuracy and speeding up the whole process eventually.

Value Proposition

Time taken in screening of resumes reduced drastically because of its ability to screen them precisely matching the requirements. Increased accuracy in screening resumes through semantic search. This can search based on underlying content in the resume which alleviates the margin for human