MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641048366 A) filed by The Principal,sns College Of Technology on April 16, 2026, for Ai Powered Edtech And Job Enablement Portal For Skill Development And Career Growth.

Inventors include Dr. Angel Latha Mary S; Nayana Preethi R; Boobala K; Devaprasanth E; and Jeevananthan M.

The application for the patent was published on June 12, 2026, under issue no. 24/2026.

Abstract: An AI-powered, multi-role EdTech and job enablement system is disclosed for managing the complete career development lifecycle for candidates while simultaneously improving hiring efficiency for recruiters. The invention employs a transformer-based Resume Ingestion and Parsing Module (106) that achieves 87.3% skill extraction accuracy by converting unstructured resume documents into normalized Structured Profiles (106e). A four-factor Weighted Scoring Model (108a) combining Skill Alignment (I 08b ), Experience Alignment ( 1 08c ), Preference Alignment ( 1 08d), and Growth Potential (I 08e) is applied to compute a Base Match Score (I 08f), subsequently refined by a Semantic Refinement Module (1 08g) using contextual embedding similarity, yielding an Interpretable Match Score (108h) at 89.1% matching accuracy. An Explainability and Gap Analysis Layer (11 0) decomposes each score into a Gap Diagnostic Report (llOa) that classifies missing competencies as must-have (110b) or nice-to-have (110c) requirements and provides estimated ramp-up effort, replacing opaque score-only recommendations with actionable diagnostics. A Roadmap Generation Engine (112) converts identified gaps into Phased Learning Roadmaps ( 112a) with sequenced milestones ( 112b) and curated resources ( 112c ), creating an iterative feedback loop in which learning activity continuously improves match outcomes. An Assessment Module (114) enables HR!Recruiters to assign auto-scored Timed Technical Assessments (114a) whose results are immediately propagated into the matching engine, ensuring that recruiter- facing profiles always reflect current, verifiable capability. Earned credentials are archived in a Credential Vault (116) as timestamped, objective proof of competency. A Role-Based Authentication Layer (104) enforces stakeholder-specific workflows for Students, Freshers, Professionals, HR/Recruiters, and Administrators. An Admin Console (118) provides platform-wide governance through immutable audit logs and support ticket management. The system achieves a user satisfaction score of 8.5 out of I 0, demonstrating the feasibility of a closed-loop platform that links structured recommendations with structured remediation and objective validation within a single, continuously improving intelligence layer.

Disclaimer: Curated by HT Syndication.