MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621064926 A) filed by Archit Lalit Patil; Dr. Sangita Jaybhaye; Patel Siddha Chandravadan; Pathan Soheb; and Nandagawali Mohit Satish on May 22, 2026, for Ai-Powered Hr Automation System Using Semantic Similarity And Weighted Candidate Ranking.
Inventors include Archit Lalit Patil; Dr. Sangita Jaybhaye; Patel Siddha Chandravadan; Pathan Soheb; and Nandagawali Mohit Satish.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention discloses an AI-powered Human Resource Automation System designed for intelligent resume screening and automated candidate ranking. The system utilizes Natural Language Processing (NLP), semantic similarity analysis, fuzzy skill matching, and weighted AI-based evaluation techniques for improving recruitment efficiency and candidate shortlisting accuracy. The invention extracts structured candidate information from resumes in multiple file formats including PDF, DOCX, and TXT formats. The extracted data is analyzed using TF-IDF vectorization and cosine similarity computation to determine contextual relevance between candidate resumes and job descriptions. The system further applies weighted candidate scoring based on skill relevance, semantic similarity, educational qualification, work experience, and achievements for generating transparent and explainable recruitment rankings. The proposed invention reduces manual recruitment workload, minimizes false negatives, improves candidate evaluation consistency, and enables scalable intelligent hiring operations across multiple organizational domains
Disclaimer: Curated by HT Syndication.
