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@article{162669,
        author = {Sneha V and Tejas SP and Shashank K Murthy and Varnith Aryan  and Vijaylaxmi Inamdar},
        title = {VTU-GPT: A Syllabus based Chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {10},
        pages = {692-699},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162669},
        abstract = {VTU-GPT (Visvesvaraya Technological University - Generative Pre-trained Transformer) is a meticulously crafted chat interface designed to address academic challenges at Visvesvaraya Technological University (VTU). Serving as a centralized hub, it provides VTU students with a seamless space for precise answers, doubt resolution, and access to syllabus-specific information. Utilizing Retrieval-Augmented Generation, VTU-GPT delivers concise explanations and furnishes pertinent links and accessible PDF resources. This paper explores the development, implementation, and impact of VTU-GPT, emphasizing its role in streamlining and enhancing the academic journey for VTU students.},
        keywords = {Large Language Models(LLMs), Machine Learning, Natural Language Processing(NLPs), Retrieval Augmented Generation},
        month = {},
        }