Interview ai agent
Link to open source: https://studio.lyzr.ai/create-new-agent/6a9050c9e6f8011b9b9de00d?tab=playground&public=true
Link to Live Project: https://studio.lyzr.ai/create-new-agent/6a9050c9e6f8011b9b9de00d?tab=playground&public=true
Interview AI Assistant is a voice-native adaptive AI interview panel built for the Agora EchoSphere 2026 Hackathon.
Most AI interview bots ask a fixed list of questions regardless of how the candidate answers. This one adapts — a Interviewer Agent conducts the live conversation while a separate Evaluator Agent silently scores each answer for clarity, relevance, depth, and confidence in real time. That score decides whether the next question goes deeper, moves to a new topic, or offers a supportive follow-up — so no two interviews play out the same way.
Built with:
- Lyzr Agent Studio for multi-agent orchestration (Interviewer + Evaluator agents working from shared state)
- Agora Conversational AI Engine + RTC SDK for real-time voice, turn-taking, and interruption handling
- Structured JSON scoring pipeline feeding a live scorecard and a final evaluation report
Why I built it: early-stage interview screening doesn't scale well for recruiters, and most "voice AI" demos are just chatbots with a microphone bolted on — they don't actually reason about what they hear. This project explores what a genuinely adaptive, multi-agent voice interview looks like, and could extend into real hiring screening, mock-interview practice for candidates, or training tools for junior interviewers.
Team Ultron — Adarsh Sarode & Jigar Kumeriya
This build was uploaded as a hackathon project
