Gurukul AI: An Interactive AI-Driven Educational Platform for Indian Education System
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 subj...
| Authors | Isha Narang, Sneh Gosai, Mayank Singh |
|---|---|
| Primary category | cs.CL |
| Published | 18 July 2026 |
| Last updated at source | 18 July 2026 |
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