{"slug": "gurukul-ai-an-interactive-ai-driven-educational-platform-for-indian-education", "title": "Gurukul AI: An Interactive AI-Driven Educational Platform for Indian Education System", "summary": "Researchers at IIT Gandhinagar introduced GurukulAI, an AI-driven educational platform tailored to the Indian education system, built on a new syllabus-aligned dataset of 18,720 question-answer pairs from NCERT textbooks for classes 9-12. The platform fine-tunes the LLaMA 3.1 8B model and uses a Retrieval-Augmented Generation (RAG) framework to provide contextual answers, doubt-clearing, and exam-style practice in both English and Hindi. The dataset and code are publicly available on Hugging Face and GitHub, aiming to bridge the gap between global LLM capabilities and regional educational demands.", "body_md": "arXiv:2608.28611v1 Announce Type: new\nAbstract: 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.", "url": "https://wpnews.pro/news/gurukul-ai-an-interactive-ai-driven-educational-platform-for-indian-education", "canonical_source": "https://arxiv.org/abs/2608.28611", "published_at": "2026-09-01 04:00:00+00:00", "updated_at": "2026-09-01 04:24:37.786060+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "ai-products"], "entities": ["IIT Gandhinagar", "GurukulAI", "NCERT", "LLaMA 3.1 8B", "Hugging Face", "GitHub"], "alternates": {"html": "https://wpnews.pro/news/gurukul-ai-an-interactive-ai-driven-educational-platform-for-indian-education", "markdown": "https://wpnews.pro/news/gurukul-ai-an-interactive-ai-driven-educational-platform-for-indian-education.md", "text": "https://wpnews.pro/news/gurukul-ai-an-interactive-ai-driven-educational-platform-for-indian-education.txt", "jsonld": "https://wpnews.pro/news/gurukul-ai-an-interactive-ai-driven-educational-platform-for-indian-education.jsonld"}}