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  Published Paper Details:

  Paper Title

Personalised Learning System using LLM

  Authors

  Srinivas V,  Rubanraaj K,  Manjunath N,  Logaprakash M

  Keywords

LLM, Streamlit, Summary generation, Quizzes, Answer Key Generation

  Abstract


The "Personalized Learning System" introduces a groundbreaking approach to education, merging advanced LLM techniques with interactive web technology to enrich the learning journey for students. By enabling users to input textbooks and syllabus details, the system generates customized summaries, quizzes, and answer keys tailored to individual learning requirements. Utilizing cutting-edge LLM models and implemented through the Streamlit framework, it delivers intuitive interfaces for seamless interaction. Through real-time feedback mechanisms and adaptive learning pathways, the "Personalized Learning System" empowers students to interact with educational materials dynamically, promoting deeper understanding and retention. This innovative project signifies a significant shift in traditional teaching paradigms, heralding a new era of personalized and effective learning experiences globally. By leveraging technology to cater to individual learning styles, it holds the potential to revolutionize educational practices and provide students with tailored support for optimal academic achievement.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405220

  Paper ID - 259323

  Page Number(s) - c24-c26

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Srinivas V,  Rubanraaj K,  Manjunath N,  Logaprakash M,   "Personalised Learning System using LLM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.c24-c26, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405220.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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