AI Resume Screener & Job Matcher
Smart recruiting assistant that evaluates resumes, scores candidates, and suggests best-fit job roles automatically.
What we set out to solve
Recruiters drown in resumes that all look the same. Keyword filters miss real candidates and let in noise. Hiring managers want shortlists with reasoning, not a stack of PDFs.
How we built it
- 01Parse resumes into a structured candidate profile with normalized roles, skills, and seniority.
- 02Score each candidate against the JD semantically, not just by keyword.
- 03Generate a short rationale per candidate so the recruiter sees why a match was made.
- 04Apply configurable bias filters (gender, school, age proxies) before the shortlist is shown.
Tools & systems
- Next.js
- pgvector
- Claude API
- Supabase
- ATS integrations (Greenhouse, Workable, custom)
What it delivers
- Shortlists arrive with reasoning the hiring manager can act on.
- Bias controls are explicit and configurable, not buried.
- Recruiter throughput rises without sacrificing review quality.
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Let's scope AI Resume Screener & Job Matcher
Tell us your constraints and goals. We'll come back with a build plan, timeline, and price.