That’s why we developed Accelerate the candidate identification process. Our proven experience, reach, and scale enable fast delivery of diverse candidates with qualified skills for any role.
Resumes are scored based on how well they match job requirements, resulting in a ranked list of candidates. This helps recruiters prioritize the most qualified applicants.
Skill Matching: Compares candidate skills with job requirements using keyword matching, synonym recognition, and context analysis.
Experience Matching: Assesses the relevance and depth of candidates’ experience in relation to job needs.
Qualification Matching: Ensures candidates’ education and certifications align with job criteria.
Game Changing
Features
Resume Parsing &
Data Extraction
AI-powered resume parsing and data extraction is a technology designed to automate the process of analyzing resumes and extracting key information. It uses machine learning and natural language processing (NLP) to recognize, categorize, and pull out important details from both structured and unstructured data within resumes.
Structured
Data Extraction
AI algorithms analyze resumes to automatically extract essential details, including personal information, education, work history, skills, certifications, and language proficiencies.
Unstructured
Data Extraction
The AI extracts valuable information from paragraphs or bullet points in resumes, capturing details like achievements and project descriptions
Skill
Mapping
Skill mapping aligns candidates’ extracted skills, enabling recruiters to quickly pinpoint individuals with the required competencies.
Keyword
Matching
Utilizes keyword matching to compare extracted data with job requirements, streamlining the initial screening and ranking of candidates.
Automated Resume
Screening
AI-driven tools automatically evaluate resumes, aligning candidate qualifications with job requirements. They filter resumes based on specific criteria like education, experience, skills, and certifications.
