MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202521054828 A) filed by Lakshmi Narain College Of Technology Excellence; Dr. Bhavana Likhitkar; Ms. Kanchan Pandey; Dr. Santosh Solanki; Deeksha Dange; and Dr. Subhashini Sagar, Bhopal, Madhya Pradesh, on June 6, for 'ai-based intelligent recruitment system for automated candidate screening and ranking.'
Inventor(s) include Dr. Bhavana Likhitkar; Ms. Kanchan Pandey; Dr. Santosh Solanki; Deeksha Dange; and Dr. Subhashini Sagar.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-based intelligent recruitment system for automating candidate screening and ranking. The system comprises a data ingestion engine that captures structured and unstructured candidate data from multiple sources, including resumes, job portals, and professional networks. The data is processed using a domain-adapted natural language processing engine that extracts and normalizes key candidate attributes. An ensemble-based machine learning model evaluates candidates on skill relevance, job experience, education, and soft skills, generating a cumulative score. Candidates are then ranked using a dynamic ranking engine trained on historical hiring data and recruiter preferences. A recruiter-facing dashboard provides interactive visualizations, candidate comparisons, and feedback mechanisms. The system includes a feedback learning loop that refines model predictions using real-time recruiter inputs and post-hire outcomes. Designed for enterprise and cross-industry use, the system supports integrations with external job platforms, HR software, and complies with global data privacy regulations. The invention enables faster, fairer, and smarter recruitment by combining automation, contextual AI, and ethical intelligence."
Disclaimer: Curated by HT Syndication.
