AI Interview Bot for Freshers Using Google Gemini and LangChain

Abstract

This paper introduces an AI-driven web application for automated interview evaluation, built using Django and integrated with Google Gemini through LangChain. It streamlines the recruitment process by generating role-specific interview questions and assessing candidate responses in real time, making it especially suitable for fresh graduates and entry-level roles. Candidates register via a secure portal and undergo a four-question interview tailored to their selected job role. Questions are generated dynamically using a large language model (LLM), ensuring relevance and simplicity. Each response is evaluated by the AI, which returns a score (0–5) and
a qualification status in structured JSON format. At the end of the session, the system calculates the average score, determines the final result, and automatically emails it to the candidate. The platform includes admin features for managing users and viewing results, along with OTP-based password recovery and profile image support. This scalable, unbiased system offers an efficient solution for bulk
hiring and academic assessments by minimizing human effort while maintaining evaluation accuracy