A Hybrid Intelligent Course Recommender System for Personalized Learning

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A Hybrid Intelligent Course Recommender System for Personalized Learning

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Published 5 April 2026

Updated 5 April 2026

A Hybrid Intelligent Course Recommender System for Personalized Learning

Basani Shireesha¹, Neha¹, Erugu Akhila¹

¹Department of Computer Science and Engineering Rajiv Gandhi University of Knowledge Technologies, Basara

Basar, Nirmal, Telangana, India

Email: b200286@rgukt.ac.in, b200931@rgukt.ac.in, b201377@rgukt.ac.in

Abstract—This project proposes an intelligent system to guide students through the vast sea of online education. Unlike static platforms, our system analyzes a user’s current skillset and target career goal to generate a personalized, step-by-step learning roadmap. By leveraging Natural Language Processing (NLP), the system maps educational content to specific career milestones, helping students avoid irrelevant material and focus on high- impact learning.