International Journal of Scientific Research and Engineering Development

This study introduces a smart web-based platform designed to enhance interview preparation using modern Artificial Intelligence techniques. The system combines the MERN stack (MongoDB, Express, React, Node.js) with the Gemini API to conduct adaptive mock interviews and generate intelligent feedback. It simulates real interview scenarios by dynamically producing questions and evaluating responses based on communication skills, subject knowledge, fluency, and professionalism. To ensure efficiency, the platform incorporates caching strategies and optimized API usage, reducing response time and operational cost. A preliminary study involving undergraduate students indicates noticeable improvements in performance, confidence, and interaction speed. The paper outlines the system design, implementation approach, evaluation outcomes, and potential future improvements including multimodal capabilities.

Parth Santosh Mahadik, Mr.Nitin Mahajan, Shaikh Waleed Nasim Ahmed, Rajan Rajeshkumar Pandit, Rajeev Kumar Mahto,"AI-Driven Platform for Job Interview Preparation Using Gemini API" International Journal of Scientific Research and Engineering Development, V9(3): Page(67-70) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.