Applicant Screening is the process of reviewing job applications to determine which candidates meet the basic qualifications for a role. Traditionally, recruiters manually reviewed resumes, but modern systems like Freddie AI use AI to evaluate experience, skills, education, and cultural fit automatically. This can include parsing resumes for keywords, analyzing work history patterns, and even assessing personality traits through questionnaires or skill tests. Automated applicant screening speeds up  recruitment reduces human error, and ensures that only high-quality candidates move forward. However, it’s important to configure screening criteria to avoid unintended bias. The process is often integrated with an Applicant Tracking System (ATS) for seamless recruitment pipeline management.
