— Interview preparation is an important process for students and job seekers, but traditional preparation methods often lack personalized feedback and real interview experience. In this paper, an Agentic AI–based Interview Preparation System is presented that simulates interview scenarios and evaluates candidate responses. The system generates role-based interview questions using a job role and skills dataset and evaluates answers using Natural Language Processing techniques. It also provides feedback and improvement suggestions to help candidates enhance their performance. By automating interview practice and evaluation, the system provides a structured and interactive way to prepare for interviews. Overall, this approach improves interview readiness, confidence, an d skill assessment in a cost-effective and accessible way.