DESIGN AND IMPLEMENTATION OF AN AI POWERED MOCK INTERVIEW SYSTEM
Abstract
ABSTRACT
This project addresses limitations in traditional interview preparation by developing an AI-enhanced mock interview application. Current methods often lack realistic training, detailed feedback, and exposure to diverse interview formats, leaving candidates anxious and ill-prepared for today's competitive job market. This application leverages OpenAI language models to simulate real interview conditions, generate relevant questions tailored to the user's role, experience, and industry, and provide personalized feedback based on content, clarity, and conciseness of responses. The system prioritizes a user-friendly interface and secure data handling. The goal is to bridge the gap between theoretical knowledge and practical experience, boosting candidates' confidence and performance. While focused on technical roles in software development for its initial MVP, the project aims to offer an affordable, customized, and interactive interview rehearsal tool, providing valuable feedback and enhancing soft skills to improve overall effectiveness in contemporary recruiting strategies. Future recommendations include expanding into other sectors and incorporating user feedback for continuous improvement.
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