MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641092791 A) filed by Sathyabama Institute Of Science And Technology on July 30, 2026, for System And Method For Intelligent Multi-Platform Skill Gap Analysis, Ai-Based Career Readiness Assessment, And Personalized Learning Roadmap Generation.
Inventors include Dr. M. S. Roobini; Mr. Mohamed Iqhlas A; Mr. Dinesh V; Dr. J. Jeyshri; Ms. Revathi K; Ms. M. Vanathi; and Ms. B. Sandhiya.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses a system and method for intelligent multi-platform skill gap analysis, AI-based career readiness assessment, and personalized learning roadmap generation for evaluating technical competency and improving interview preparedness through integrated programming performance analytics. The invention comprises a multi-platform data acquisition module, a data processing and normalization module, an Artificial Intelligence-based analytics engine, a benchmark evaluation module, a personalized recommendation module, a centralized data repository, and an interactive application interface. The system continuously acquires programming performance data from multiple competitive coding platforms, standardizes and analyzes the collected information to generate topic-wise competency profiles, identify individual skill gaps, and evaluate career readiness by comparing user proficiency with predefined employment benchmarks. Based on the identified competency gaps and benchmark evaluation, the system automatically generates an adaptive learning roadmap comprising prioritized technical domains, recommended practice activities, and progressive learning strategies for continuous skill improvement. The integrated platform further provides real-time competency visualization, performance monitoring, institutional analytics, and personalized career guidance through an interactive user interface. By combining multi-platform performance analytics, Artificial Intelligence-driven competency evaluation, benchmark-based career assessment, adaptive recommendation, and continuous learning guidance into a unified platform, the invention provides a scalable, secure, and data-driven solution for enhancing technical skill development, improving placement readiness, and supporting intelligent career planning in educational and professional learning environments.
Disclaimer: Curated by HT Syndication.