Animated Smart Interviewer demo showing an adaptive interview workflow.

Smart Interviewer

AI interview simulator that runs structured practice interviews, listens to spoken answers, evaluates response quality, and asks follow-up questions when the candidate needs to explain more.

GitHub

Overview

What it does

Runs structured interview sessions with level-based questions.
Lets candidates answer by recording or uploading audio.
Evaluates each response and gives clear feedback.
Asks follow-up questions when an answer is incomplete.
Tracks progress across the interview session.
Generates a final summary that can be reviewed or downloaded.

Smart Interviewer focused question view.

One clear question at a time

Presents each interview question in a focused view.
Keeps the candidate experience simple and distraction-free.
Supports voice playback so candidates can hear the question.
Keeps advanced details available without cluttering the main flow.

Smart Interviewer audio response workflow.

Record or upload candidate answers

Allows candidates to respond naturally using audio.
Supports both live recording and uploaded answer files.
Keeps submission controlled until an answer is ready.
Connects the audio response to the backend evaluation pipeline.

Smart Interviewer readable evaluation feedback.

Clear feedback after each response

Checks whether the answer sufficiently addresses the question.
Explains the result in plain language.
Highlights when the candidate needs to provide more detail.
Supports adaptive follow-up instead of a fixed question list.

Smart Interviewer final interview summary.

Reviewable final interview summary

Summarizes how the interview session went.
Shows the final level or progress reached.
Provides a downloadable backend-generated summary.
Makes the result easier to review after the session.