A voice-driven AI interviewer that reads student resumes, builds questions around their experience, gives real-time feedback, and walks them through realistic practice interviews. Available whenever they need it, not just during office hours.
Students were graduating with strong technical skills and solid GPAs, but freezing the moment they sat down for a real job interview. Career services knew this was a problem. They saw it every semester. Graduates who looked great on paper were losing out on offers because they couldn't articulate their experience under pressure. The gap between academic preparation and interview readiness was costing students real opportunities.
The career services team was doing their best, but the math didn't work. Two advisors couldn't run meaningful mock interviews for hundreds of students each semester. Appointments booked out weeks in advance, and by the time a student got a slot, the job posting had already closed. The students who needed the most help, like first-generation graduates, career changers, and people without professional networks, were the ones least likely to get it.
Generic interview prep resources didn't cut it either. Watching a YouTube video about "how to answer 'tell us about yourself'" doesn't prepare you for a behavioral question about a specific project on your resume. Students needed practice that was personalized, repeatable, and available at 11 PM the night before a morning interview. Nothing on the market did that.
Two career advisors for hundreds of graduating students. Appointments booked out weeks ahead, too late for most job timelines.
Students couldn't practice at midnight before a morning interview. Career services closed at 5 PM, and anxiety didn't.
Cookie-cutter question lists didn't reflect real interview scenarios. Students needed questions tailored to their actual resume and target roles.
Strong students were losing job offers because they couldn't perform under pressure. The interview gap was undermining years of academic work.
Built a pipeline that accepts PDF, DOCX, and plain text resumes and extracts structured data: skills, experience, education, projects, and certifications. The parser handles messy formatting, multi-column layouts, and the creative templates students love to use.
Uses AI to generate behavioral, technical, and situational interview questions from what's actually in each student's resume. The system cross-references their experience against common questions for the target industry and produces a different question set every session.
Added speech recognition and text-to-speech so students can practice out loud, the way a real interview works. The AI interviewer asks questions verbally, listens to responses, generates follow-up questions in real time, and adapts its approach based on how the student is performing.
After each session, the system delivers detailed feedback on response quality, structure, confidence indicators, and areas for improvement. Students can review past sessions, track their progress over time, and see exactly where they're getting stronger.
Let's talk about how an AI-powered interview coach could help your students land the jobs they've earned.
Start a ConversationAccepts PDF, DOCX, and TXT resumes. Extracts skills, experience, projects, and education, even from messy multi-column layouts, so every interview session is personalized.
AI generates behavioral, technical, and situational questions drawn directly from the student's resume content and target role. No two sessions are the same.
Students speak their answers out loud using speech recognition. The AI interviewer responds verbally, asks follow-ups, and adapts in real time, just like sitting across from a real interviewer.
Evaluates answers as students speak, checking for structure, specificity, relevance, and confidence indicators. Provides instant cues when responses go off track.
Post-session reports break down performance by category with practical advice. Each score maps to specific improvement tips like "quantify this achievement" or "use the STAR method."
Students review past sessions, compare scores over time, and see exactly which areas are improving. Career advisors get aggregate dashboards to spot trends across the student body.
The voice-driven interview interface where students practice in real time. The AI interviewer asks questions verbally, listens to responses, and generates contextual follow-ups. A live transcript and confidence meter run alongside.
Detailed performance breakdown after each mock interview. Students see scores for structure, relevance, specificity, and delivery, plus side-by-side comparisons of their answer against a strong example.
A longitudinal view of each student's interview readiness over time. Tracks sessions completed, average scores by category, improvement trends, and areas that still need work before the real thing.
I had a phone interview at 9 AM and practiced with the coach at midnight the night before. It asked me about the exact project on my resume I was most nervous about. By the time the real interview came, I'd already nailed that answer three times. I got the job.
Early prototypes were text-only. Students typed their answers. Usage was decent but the feedback felt disconnected from reality. The moment we added voice input and output, engagement tripled. Typing an answer and saying it out loud under pressure are fundamentally different skills. Students who practiced with voice reported feeling dramatically more prepared for the real thing.
Generic question banks create generic practice. When the AI asked "Tell us about your experience building a REST API for that inventory management project you listed," students leaned forward. They were being asked about their work, not abstract scenarios. That personalization is what made students come back for multiple sessions instead of one-and-done.
The AI interviewer isn't as nuanced as a seasoned career counselor. But it's there at 11 PM on a Sunday. The students who benefited most weren't the ones who would have booked an appointment anyway. They were the ones who never would have practiced at all. Making interview prep accessible and judgment-free removed the biggest barrier: getting started.
Every student deserves to walk into an interview feeling prepared. Tell us about your career services challenges, and we'll show you how an AI interview coach could help your students get hired.
No pitch. No pressure. Just a conversation about what might work.