Smart Virtual Interviewer Bot

Interviews are an essential part of the recruitment process, used to assess a candidate’s knowledge, communication skills, confidence, and suitability for a role. However, conducting large-scale interviews manually is time-consuming, inconsistent, and requires significant human effort. This project presents a Smart Virtual Interviewer Bot, an AI- powered system that automates the interview process using Natural Language Processing (NLP), Speech Recognition, Deep Learning, and Emotion Detection. The system allows candidates to upload their resume, from which it extracts key details such as skills, experience, and education using AI-based resume parsing. Based on this extracted information, the bot generates domain-specific and skill-based interview questions using a GPT-like question generation engine. The interview is conducted through voice interaction, where the bot asks questions using Text-to-Speech (TTS) and evaluates answers using Speech-to-Text (STT) and NLP scoring models.