MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621051622 A) filed by Arun Kumar; Shivam Kumar; Vijay Kumar Yadav; Md Rashid; Pradeep Shinde; and Moresh Madhukar Mukhedkar on April 23, 2026, for Resume Analyzer - Ai-Powered Resume Analyzer System.
Inventors include Arun Kumar; Shivam Kumar; Vijay Kumar Yadav; Md Rashid; Pradeep Shinde; and Moresh Madhukar Mukhedkar.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention relates to an AI-powered Resume Analyzer system designed to provide intelligent, context-aware, and job-specific resume evaluation through a web-based interface. The system integrates multiple functional layers, including a user interface layer, a resume processing module, a data storage mechanism, and an analysis engine, to enable efficient analysis and feedback generation for improving resume quality. The user interface layer is designed to provide a responsive and intuitive environment, allowing users to upload resumes, enter job descriptions, and view detailed analysis reports across multiple device formats including desktop, tablet, and mobile platforms. The system incorporates structured data handling capabilities that allow users to manage resumes and access previous analysis results for continuous improvement. A data storage mechanism, implemented using database or browser-based storage, ensures persistence of resumes and analysis reports, enabling users to revisit and refine their resumes over time without data loss. The system is specifically optimized for resume evaluation and job matching applications. It supports features such as keyword extraction, skill identification, ATS compatibility checking, and job-role relevance scoring. The system also provides predefined suggestions and recommendations to guide users in improving resume structure, content, and effectiveness. The analysis engine utilizes natural language processing and machine learning techniques to process resume content, compare it with job descriptions, and generate meaningful insights. It performs critical operations including data extraction, normalization, scoring, and suggestion generation to enhance resume quality. The invention further enhances reliability and user experience through accurate evaluation, real-time feedback, and structured result presentation. By integrating intelligent analysis, persistent data handling, and user-friendly interface design, the proposed system significantly improves the efficiency, usability, and success rate of job application processes.
Disclaimer: Curated by HT Syndication.
