SKILLSPEAK: AN AI POWERED MOCK INTERVIEW PREPERATION

This paper presents an AI-powered mock interview preparation system designed to enhance users’ in-terview skills through personalized and interactive practice sessions. The system generates role-specific interview ques-tions by analyzing user-provided resumes and job descrip-tions, ensuring relevance to the targeted position. Leverag-ing advanced speech recognition and Natural Language Pro-cessing (NLP) techniques, the application evaluates users’ responses in real time. It assesses key aspects such as gram-mar, clarity, fluency, and confidence, providing immediate and actionable feedback. Additionally, the system tracks user performance over time, enabling continuous improve-ment and helping candidates identify their strengths and ar-eas for development. By simulating real interview scenar-ios and offering data-driven insights, the proposed solution aims to increase user confidence, improve communication skills, and enhance overall interview readiness. This AI-based approach provides an accessible, efficient, and scalable platform for job seekers to prepare effectively for interviews.