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In today’s competitive job market, a well structured and keyword-optimized resume plays a decisive role in securing employment opportunities. However, most candidates lack the tools or expertise to evaluate and improve their resumes effectively. Resume-IQ is an AI powered web application designed to bridge this gap by providing intelligent, automated resume analysis and personalized feedback. The system accepts resumes in PDF format, extracts textual content, and leverages the LLaMA 3.1 large language model via the Groq API to analyze the resume against a user provided job description. It evaluates key parameters such as ATS (Applicant Tracking System) compatibility, skill match percentage, missing keywords, and overall presentation quality. Feedback is delivered both on-screen and via email using Resend API for email delivery. The backend is developed using Node.js and Express.js, ensuring a lightweight and scalable architecture. This paper presents the design, methodology, implementation, and results of the ResumeIQ system, demonstrating its effectiveness as a smart career assistance tool.