AI-Powered Interview Xpert: An Intelligent Platform for Interviews, Resumes, and Portfolios

In the modern job market, standing out requires more than just qualifications—it demands excellent interview skills, strong resumes, and an impressive portfolio. This project introduces an AI-powered platform aimed at helping job seekers and students excel in these critical areas. The platform combines three key components: a Mock Interview Assistant, a Resume Generator, and a Portfolio Creator—each enhanced with artificial intelligence to deliver tailored feedback and data-driven support. The Mock Interview module simulates realistic interview environments by customizing questions based on the user's desired role and industry. Leveraging natural language processing (NLP) and machine learning, it assesses user responses for relevance and clarity, providing feedback, ratings, and improvement tips for soft skills. It also integrates text-to-speech to simulate real-time conversations. The Resume Builder analyzes job postings using AI to help users optimize their resumes with appropriate keywords, phrasing, and content suggestions. It detects skill mismatches, offers enhancement suggestions aligned with industry norms, and ensures compatibility with Applicant Tracking Systems (ATS), improving the likelihood of passing early recruitment stages. The Portfolio Builder assists users in crafting visually compelling and content-rich digital portfolios. By utilizing computer vision and NLP, it evaluates structure, visual appeal, and presentation, while offering personalized tips on how to effectively display work and projects. Altogether, this platform delivers a well- rounded, AI-enhanced career toolkit designed to build confidence and improve employment outcomes. With an engaging and user-friendly interface, it seeks to significantly boost users' preparedness and success in the hiring process. Index Terms: Artificial Intelligence, Natural Language Processing, Mock Interviews, Resume Optimization, Portfolio Builder, Career Readiness, Applicant Tracking Systems