PrepAI – Smart Interview Booster System
DOI:
https://doi.org/10.7492/r8bx9q08Keywords:
AI-Based Learning, Interview Preparation, Smart Interview System, Automated Code Evaluation, Mock Interviews, Aptitude Testing, Personalized Learning, Performance Analytics, Skill Assessment, Adaptive Learning SystemAbstract
With the increasing demand for technical and professional skills, effective interview preparation has become essential for students
and job seekers. However, traditional methods often lack personalized guidance, real-time feedback, and performance analytics. This project
presents PrepAI: Smart Interview Booster System, an AI-powered platform designed to improve interview readiness through intelligent
assessment and adaptive learning. The system integrates AI-driven modules to simulate real interview scenarios, evaluate responses, and provide
instant feedback. It includes features such as automated coding evaluation, aptitude tests, mock interviews, and personalized question
recommendations based on user performance. A secure environment allows users to practice coding and problem-solving while gaining insights
into their strengths and areas for improvement. The platform also offers performance analytics dashboards, skill assessment maps, and
recommendation systems to guide targeted learning. Administrators and educators can monitor progress and manage content efficiently. Built
with modern web technologies and scalable architecture, the system ensures real-time responsiveness. By combining AI-based evaluation and
personalized feedback, PrepAI enhances confidence, reduces preparation time, and provides a structured approach to interview success.
