MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202631078767 A) filed by Jis University on June 26, 2026, for “system And Method Fo-Barsed Ai Resume Analysis, Career Ranking, Company Matching, And Personalized Learning Recommendation Using Deep Hybrid Semantic Intelligence”.
Inventor includes Dr. Dharampal Singh.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT The present invention discloses an artificially intelligent educational and career intelligence platform that utilizes deep hybrid semantic intelligence to parse unstructured resumes, perform real-time skill-gap analysis, generate sequential pedagogical pathways, and execute high-throughput candidate-company matching. The architecture integrates a Natural Language Processing (NLP) based Resume Parsing Module with a transformer-based Semantic Embedding Engine to convert unstructured text profiles into dense, high-dimensional contextual vectors. Real-time vector retrieval and matching are optimized via a Facebook AI Similarity Search (FAISS) system. Crucially, a Gated Recurrent Unit (GRU)-based Deep Hybrid Sequential Model (DHSM) analyzes historical time-series user interactions to forecast future capability requirements and synthesize structured learning pathways. The system calculates a multi-criteria employability score and company compatibility matrix through integrated Career Ranking and Company Matching Modules, providing an scalable framework that bridges the gap between educational progression and corporate recruitment.
Disclaimer: Curated by HT Syndication.
