mlsanityData to 14 Oct 2026

Gurukul AI: An Interactive AI-Driven Educational Platform for Indian Education System

arXiv 2608.28611 ↗First posted 18 Jul 2026cs.CL cs.AI cs.CYcited by 0

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Abstract (arXiv)

Recent advances in large language models (LLMs) like ChatGPT and LLaMA have transformed AI-driven education, but these systems are predominantly trained on Western-centric data, making them ill-suited for regional curricula like India's. The Indian education system is linguistically diverse, exam-oriented, and structured around standardized syllabi, not addressed by existing datasets or tools. In this work, we curate a syllabus-aligned QA dataset based on NCERT (National Council of Educational Research and Training) textbooks for classes 9-12, capturing the content, context, and teaching style of Indian curricula. The final dataset, comprising 18,720 question-answer pairs across five subjects, is publicly available at https://huggingface.co/datasets/LingoIITGN/Gurukul. We fine-tune the LLaMA 3.1 8B model using this dataset and deploy it in a Retrieval-Augmented Generation (RAG) framework tailored to educational needs. We introduce GurukulAI, an open-access platform that enables Indian students to chat with the model, get doubts cleared, practice exam-style questions, receive contextual answers, and interact in both English and Hindi. By localizing AI for Indian classrooms, our work bridges the gap between global LLM capabilities and regional educational demands. The code is available at https://github.com/lingo-iitgn/GurukulAI.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 19 references that are in the map. First posted on arXiv 18 Jul 2026.

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References · 6

  1. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  2. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,754
  3. 2019DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphscited by 903
  4. 2017RACE: Large-scale ReAding Comprehension Dataset From Examinationscited by 861
  5. 2019EdNet: A Large-Scale Hierarchical Dataset in Educationcited by 108
  6. 2024INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languagescited by 24

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  4. 2025Automated Generation of Curriculum-Aligned Multiple-Choice Questions for Malaysian Secondary Mathematics Using Generative AI
  5. 2023AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs
  6. 2025Aligning LLMs for the Classroom with Knowledge-Based Retrieval -- A Comparative RAG Study
  7. 2026IndicEval: A Bilingual Indian Educational Evaluation Framework for Large Language Models
  8. 2025EduVidQA: Generating and Evaluating Long-form Answers to Student Questions based on Lecture Videos