Neo Learn

Authors

  • Dr. R. Dinesh Kumar Associate Professor; Department Of Computer Science And Engineering Bhoj Reddy Engineering College For Women Hyderabad India. Author
  • G.Akhila, V.Harika B.Tech Students ; Department Of Computer Science And Engineering Bhoj Reddy Engineering College For Women Hyderabad India. Author

DOI:

https://doi.org/10.62647/

Keywords:

Adaptive Learning, Artificial Intelligence, Large Language Models, Natural Language Processing, Personalized Learning, Educational Technology, Automated Summarization, Learning Analytics, Intelligent Tutoring Systems, Formal Languages and Automata Theory, Design and Analysis of Algorithms.

Abstract

Neo Learn is an artificial intelligence–driven adaptive learning platform developed to assist students in mastering complex subjects such as Formal Languages and Automata Theory (FLAT), Design and Analysis of Algorithms (DAA), and Aptitude. The system integrates Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to deliver real-time responses, contextual explanations, and personalized academic guidance tailored to individual learning pace and requirements. To enhance conceptual understanding, the platform provides visualization support that transforms abstract topics—particularly automata and algorithmic concepts—into interactive diagrams and graphical representations. Additionally, Neo Learn includes an automated summarization module that condenses extensive academic materials into concise and structured key points, thereby improving revision efficiency. The platform also incorporates quizzes and assessment mechanisms to evaluate learner comprehension and reinforce knowledge retention. A dedicated progress monitoring component tracks user performance, identifies weaker areas, and provides data-driven insights for continuous improvement.

By combining intelligent tutoring, visualization, automated summarization, assessment tools, and performance analytics within a unified system, Neo Learn delivers a personalized and interactive learning experience. The proposed platform enhances student engagement, improves conceptual clarity, and supports efficient academic preparation across technical subjects.

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Published

29-03-2026

How to Cite

Neo Learn. (2026). International Journal of Information Technology and Computer Engineering, 14(1), 1007-1014. https://doi.org/10.62647/

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