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Build an intelligent candidate-job matching system that analyzes resumes against job descriptions to find the perfect match.
Workflow Steps
Parse Resume
Extract structured data from candidate resumes using our AI Resume Parsing API.
API: POST /v1/resume/parse// Extract structured data from resume const resumeData = await jobrex.resume.parse({ file: resumeFile, // PDF or DOCX options: { extractSkills: true, extractExperience: true } });Parse Job Description
Extract requirements, skills, and other key information from job listings.
API: POST /v1/jobs/parse// Extract structured data from job description const jobData = await jobrex.jobs.parse({ text: jobDescriptionText, options: { extractRequirements: true } });Match Candidates to Jobs
Use our semantic matching API to find the best candidates for each position.
API: POST /v1/candidates/match// Match candidate to job const matches = await jobrex.candidates.match({ job: jobData, candidates: [resumeData], options: { threshold: 0.7, // minimum match score maxResults: 10 // top N candidates } });Present Results
Display match results with scores and highlighted matching skills.
// Frontend code to render matches function CandidateMatch({ match }) { return ( <div className="candidate-card"> <div className="score">{Math.round(match.score * 100)}%</div> <h3>{match.candidate.name}</h3> <div className="matching-skills"> {match.matchingSkills.map(skill => ( <span className="skill-tag">{skill}</span> ))} </div> </div> ); }
Key Benefits
- 80% reduction in screening time
- Identify best candidates quickly
- Eliminate bias in the screening process
- Improve quality of hire metrics
- Scale your recruiting operations