Result Paper on Interviewello: AI Mock Interview WebApp

Abstract

In today's rapidly evolving job landscape, strategic interview preparation is vital for professional success. Interviewello is an AI-powered mock interview web application designed to simulate realistic interview environments and offer intelligent, personalized feedback. Developed using Next.js and React for a smooth and dynamic interface, the system incorporates Clerk for secure authentication and Drizzle ORM for efficient data management.

At the heart of Interviewello lies Gemini AI, which dynamically generates job-specific questions and evaluates user responses in real-time, assessing tone, clarity, confidence, and content relevance. The platform supports both technical and behavioral interview formats, while also maintaining a session history for detailed performance tracking. An integrated Resume Analyzer utilizes advanced NLP techniques and machine learning models to provide actionable insights, keyword suggestions, and formatting improvements.

Built for both individual job seekers and organizations, Interviewello continually adapts through user feedback and interaction data. Its scalable architecture ensures reliability, flexibility, and seamless integration with future AI capabilities. By delivering a comprehensive, immersive preparation experience, Interviewello empowers users to refine their interview skills and boost their chances of success in the competitive job market.