# Candidate Screening Systems for HR Companies

HR Tech — AI-Powered Screening

> A two-layer AI interviewer that generates candidate-specific questions, delivers a live voice interview, and outputs a SELECTED/REJECTED recommendation with AI-written rationale.

Resume parsing → hardest-first scenario questions unique to the candidate → live voice interview with adaptive follow-ups → per-skill scoring with confidence ratings and a weighted final recommendation.

**Screening standard:** Consistent bar, every candidate

**11 / HR TECH / AI-POWERED SCREENING**


**Client:** Enterprise recruiting clients

**Tags:** HR Tech · Recruiting · Voice AI · Adaptive Interviewing · Automated Scoring

## Problem

Screening candidates at volume meant choosing between generic scripted questions that never actually tested what was on a resume, or spending real recruiter time per candidate to interview sharply and judge consistently. Vague or rehearsed answers routinely got through because nobody had the time — or a consistent enough standard — to push back.

## The Contribution

Built a two-layer AI interviewer. The candidate's resume is parsed into a structured profile — skills, domain, experience level — and matched against the job description to generate a set of hardest-first, multi-skill scenario questions that are specific to that candidate, not generic. The interview itself is delivered as a live voice conversation, with the resume fed to the voice agent as context so it can reference specifics naturally. Every answer is evaluated against strict elite-hire standards: vague or evasive answers get exactly one retry before being scored as a fail. As the interview progresses, follow-up questions escalate in difficulty based on the candidate's own previous answer.

## Technical Details

**Resume-to-Questions**
LLM-based resume parsing produces a structured candidate profile (skills, domain, experience level), which is matched against the job description to generate 8 hardest-first, multi-skill scenario questions unique to that candidate.

**Live Voice Delivery**
The interview runs as a real-time voice conversation via an AI voice agent, with the parsed resume passed in as live context so questions and follow-ups can reference it naturally.

**Adaptive Difficulty**
Follow-up questions are generated dynamically based on the candidate's previous answer, escalating difficulty and integrating multiple skills rather than repeating a fixed script.

**Scoring & Reporting**
Every answer is scored 1-5 with vagueness detection (one retry, then scored as failing) and per-skill confidence ratings. Skills are weighted by importance × confidence into ranked strengths and weaknesses, and the final score is normalized against a configurable pass threshold for a SELECTED/REJECTED recommendation with AI-written rationale.

- Fallback logic ensures a usable report even if AI commentary generation fails

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