Case study / MULTI-AGENT SYSTEM
RecruitRadar
A CrewAI multi-agent recruitment screener that scores resumes against a job description with deterministic, evidence-backed scoring — saving recruiters hours per role.
Architecture
How it works
JD Analyst
Parses the job description into weighted, structured criteria that drive every downstream decision.
Embedding pre-filter
A Gemini embedding pass shortlists resumes so expensive scoring only runs on relevant candidates.
Resume Scorer
Computes a deterministic 0–100 score with weighted sums in code (never emitted by the LLM); every matched skill must cite a verbatim resume quote, verified with rapidfuzz.
Interview Designer
Drafts tailored interview questions grounded in the candidate’s actual experience and the role’s criteria.
Outreach & Tracker
Writes personalized outreach messages and tracks every candidate through an SQLite kanban pipeline.
Engineering highlights
~6 hours saved per role screened
Deterministic, auditable scoring — no LLM-emitted numbers
Evidence guard: every claim cites a verbatim resume quote
Next project
SmartIngest →