Randomized trial evaluates an AI-based interview practice system, improving readiness among users, indicating effective preparation.
The increasing demand for placement preparation and interview readiness has created the need for intelligent systems that provide personalized interview practice and real time performance evaluation. This project presents a Smart Interview Practice System, an AI-powered web application designed to help students and job seekers improve their interview skills through interactive practice sessions and automated feedback. The proposed system provides separate interview modules for HR, Technical, and Aptitude rounds. Users can register securely, log in, select their preferred interview domain, and answer dynamically generated interview questions. The system evaluates user responses using Natural Language Processing (NLP) techniques and AI-based analysis, generating scores, personalized feedback, and performance reports. All interview records and user progress are securely stored in a database for future reference and continuous improvement
No takes yet. Share an insight, caveat, or question.
B V P.Latha Boddeda. Pavan kumar surya (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: