International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025
p-ISSN: 2395-0072
www.irjet.net
AI INTERVIEW COACH 1Harshala Kulkarni, 2Isha Jadhav, 3Riya Mahale, 4Prof.Rohan Shinde 1,2,3 UG scholar, 4Assistant Professor, Electronics & Communication Engineering Department,
School of Engineering & Sciences, MIT Art, Design & Technology University, Pune, India ---------------------------------------------------------------------***--------------------------------------------------------------------asks real company-level questions, gives instant feedback, Abstract- This study presents a full-stack AI-powered
and costs almost nothing—a game-changer for millions of job seekers.
career coaching web application built with Next.js, Tailwind CSS, Prisma, and Gemini AI. The platform generates personalized interview questions, industry insights, resume/cover letter drafts, and conducts AI-driven mock interviews with feedback, while supporting background task scheduling. An empirical user study evaluated usability, perceived utility, and impact on user confidence. Results show that the system significantly reduces preparation time, boosts interview readiness, and democratizes access to highquality, scalable career coaching, offering a personalized alternative to traditional methods.
This project builds a full-stack AI Interview Coach that generates relevant questions, analyzes responses, and provides personalized, real-time guidance. The goal is to create a truly scalable, affordable, and accessible preparation tool. Despite its importance, personalized interview practice is still expensive and inconvenient. Most candidates prepare alone, lacking honest feedback, which hurts confidence, clarity, and storytelling ability. Recent advances in NLP and large language models now enable natural, human-like conversations with instant, tailored coaching. This project delivers exactly that: a modern, high-quality AI Interview Coach that gives everyone the realistic practice and guidance traditionally reserved for a lucky few.
Keywords: Artificial Intelligence, Generative AI, Natural Language Processing, Machine Learning, Interview Simulation, Large Language Models, Personalized Interview Training.
1. INTRODUCTION Artificial intelligence is revolutionizing hiring, education, and skill development. Interview preparation, once dependent on human mentors or offline coaching, is now enhanced by affordable, scalable AI tools. An AI Interview Coach uses NLP, machine learning, and real-time feedback to create realistic mock interviews, helping candidates refine technical responses, communication skills, and confidence.
1.2 Problem Definition Interview prep is painful for most people, especially students, nervous candidates, or anyone without a mentor or money for coaching. We end up practicing in the mirror or begging friends for quick help, with almost no real feedback. Traditional coaching is expensive, hard to book, and often gives delayed, generic advice, leaving huge gaps for non-tech or low-income candidates.
This project builds and tests a practical AI-powered interview coach that simulates real job interviews, delivers personalized, data-driven feedback via generative AI and NLP, and makes preparation interactive, effective, and stress-free. Acting as an always-available practice partner, it conducts tailored mock sessions, provides honest yet supportive real-time feedback, and reduces pre-interview anxiety. Inspired by modern full-stack AI capabilities, the goal is to make high-quality, accessible interview practice faster, cheaper, and far better than traditional methods—for anyone with an internet connection.
That’s why I’m building an AI Interview Coach: it asks real job-specific questions, listens to your answers, and instantly tells you what worked, where you rambled, sounded unsure, or missed the mark. It’s a patient, brutally honest coach available 24/7 at basically zero cost. The goal: give everyone, regardless of background or budget, realistic practice and sharp, personalized feedback—so they walk into the real interview confidently and ready.
1.1 Background and Motivation:
1.3 Research Objective:
In India, quality interview coaching costs ₹2-5K per session, is confined to big cities, and remains unaffordable for most students and freshers. Generative AI changes everything: it delivers a smart coach on every phone that
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Impact Factor value: 8.315
1. Build a realistic AI Interview Coach powered by cutting-edge generative AI and language models
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