International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Screenify : AI Based Resume Analyzer

Author(s) Dr. Pramod R, Ms. NITHYA H L, Ms. MEGHANA K M, Mr. SHANKAR SHANKAR
Country India
Abstract In the present employment landscape, the effectiveness of job applications is highly dependent on the ability of resumes to pass through Applicant Tracking Systems (ATS). Research indicates that nearly 75% of resumes are automatically rejected due to formatting errors, missing keywords, or lack of machine-readable structure. Screenify is an AI-powered Progressive Web Application (PWA) developed to provide intelligent, real-time feedback for resume optimization. The system integrates PDF parsing (via PDF.js), multi-dimensional scoring, feedback visualization, and secure cloud storage to evaluate resumes across categories such as content quality, structure, keyword alignment, and formatting.

Unlike existing tools, Screenify emphasizes accessibility through PWA features, offline readiness, Docker-based deployment, and a user-centric dashboard. Experimental validation with 20 diverse resumes across technical, managerial, and creative domains showed that ATS compatibility scores improved by an average of 23.4% after optimization. The system demonstrated 98% text extraction accuracy, an average response time of 1.8 seconds per resume, and 100% successful PWA installations across desktop and mobile platforms.

These findings establish Screenify as an effective and scalable solution to empower job seekers in optimizing their resumes, bridging the gap between human expectations and machine-based recruitment filtering
Keywords Resume Analyzer, Applicant Tracking System, AI Feedback, Progressive Web App, Resume Optimization, Employment Technology, Human–Computer
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62510
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E-ISSN 2582-2160
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