MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521108769 A) filed by Zarinabegam Kasmiali Mundargi; Gaurav Rajesh Gurbani; Atharva Raju Halade; Shreyas Kishor Fulsaundar; Ansh Moreshwar Chahare; and Kshitij Vinayak Babkas, Pune, Maharashtra, on Nov. 10, 2025, for 'recruitment web platform for job positioning and hiring automation.'
Inventor(s) include Zarinabegam Kasmiali Mundargi; Gaurav Rajesh Gurbani; Atharva Raju Halade; Shreyas Kishor Fulsaundar; Ansh Moreshwar Chahare; and Kshitij Vinayak Babkas.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The Recruitment Web Platform for Job Positioning and Hiring Automation introduces an intelligent, web-based system designed to optimize and automate the recruitment process for organizations and candidates alike. The platform integrates Natural Language Processing (NLP)-based CV parsing technology to extract structured information-such as skills, experience, and education-from unstructured resume data, thereby eliminating manual screening and enhancing decision accuracy. It employs an intelligent job recommendation algorithm that dynamically matches candidates to suitable job postings based on parsed attributes and similarity metrics. The system features role-based access control (RBAC) to provide secure, function-specific interfaces for administrators and job seekers, enabling seamless interaction within a unified environment. Administrators can manage job postings, monitor candidate progress, and utilize integrated analytics dashboards for data-driven evaluation, while job seekers receive personalized job recommendations and real-time updates on application status. The platform further supports realtime notifications and scalable cloud deployment, allowing integration with external APIs, job portals, and future Al-driven recommendation systems. By combining automation, structured data intelligence, and scalable web technologies, the invention significantly reduces hiring time, minimizes human bias, enhances recruitment transparency, and fosters improved alignment between employer requirements and candidate capabilities."
Disclaimer: Curated by HT Syndication.
