Nlplearnx: A Student-Driven AI Platform for Adaptive Learning with Entrepreneurship and IPR Perspectives

Abstract

Vijayakumar M N, K Preethi, Preetham N and Gagan Gowda V S

Many students, particularly those transi- tioning from diploma-level education, encounter significant chal- lenges in mas- tering advanced subjects such as programming, mathematics, and core engineering disciplines. These challenges are often exacter-bated by the absence of personalized learning paths, simplified instructional materials, and foundational sup-port. This paper presents NLPLearnX, an AI-powered adaptive learning platform that leverages Natural Language Processing (NLP) and generative AI to enhance educational outcomes. The system initiates with a diagnostic quiz to evaluate the learner’s prior knowledge and subsequently recommends a personalized learning path using performance- driven analytics. Core func- tionalities include automated text summarization using the T5 Transformer model, multi- PDF content aggregation with chapter- wise organization, and a built-in rule-based chatbot for real-time academic support. Students can upload educational resources, ac- cess curated notes, and assess their progress through quizzes. Ad- ditionally, the platform enables subject matter experts-including alumni and tutors-to contribute content, thereby fostering a collaborative learning ecosystem. By integrating personalized module rec- ommendation, AI-based summarization, interactive assessments, and community-driven tutoring, NLPLearnX deliv- ers a scalable, student- centric solution aimed at reducing learning gaps and improving self-paced learning efficiency.

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