MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611070909 A) filed by Krishna Institute Of Engineering & Technology Kiet on June 08, 2026, for Skill Based Course Recommendation System.
Inventors include Manjeri Ruhela; Kashish Jain; Sakshi; Sarika; and Dr. Akash Rajak.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT Skill Based Course Recommendation System The present invention discloses a Skill Based Course Recommendation System that provides highly personalized academic and vocational course suggestions to learners. The system collects user data including academic records, skills, interests, and career goals, processes it through a hybrid recommendation engine combining collaborative filtering, content-based filtering, and machine learning models, and generates accurate, relevant course recommendations. A secure database stores user profiles and course information, while a continuous feedback loop enables adaptive learning and progressive improvement in recommendation quality. The modular, scalable platform is accessible via web and mobile interfaces and can be deployed in universities, EdTech platforms, corporate training, and government skilling initiatives. By addressing information overload and aligning with NEP 2020 skill-based education, the invention enhances learner engagement, employability, and decision-making efficiency in modern education ecosystems.
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