Randomized trial shows effectiveness of an AI resume analyzer in improving job application outcomes, indicating its value for job seekers.
— 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.
No takes yet. Share an insight, caveat, or question.
Aman Kumar, Shashank Tiwari, Aryan Kumar Tiwari, Dipendra Nath Tiwari, Dr Abhijeet Gupta, Prof. Rahul Sharma (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: