Organisations dealing with large volumes of candidate data and job descriptions struggle to consistently identify the strongest matches. Manual review is time-consuming and prone to inconsistency.

Approach
A machine learning-based matching algorithm was developed to analyse and compare CVs with job requirements. By identifying patterns in both structured and unstructured data, the model improves the quality and consistency of candidate selection.

Result
A practical AI solution that reduces manual work, increases matching accuracy and supports faster, more consistent recruitment decisions.