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@article{189212,
        author = {Om Chaudhari and Tanvi Deshpande and Sarthak Kadam and Dr. Sanjesh Pawale},
        title = {AI POWERED HELP AND SUPPORT CAMPUS ASSISTANT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {7949-7959},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189212},
        abstract = {Traditional university support systems rely heavily on manual help desks and email communication, resulting in slow responses and increased administrative burden during peak academic periods. This study introduces an AI-powered Help and Support Campus Assistant for Vishwakarma University designed to deliver instant, accurate, and continuous access to institutional information. The system uses a three-tier architecture consisting of a React-based frontend, a Node.js Express backend, and a Python-driven AI engine built with LangChain and ChatGroq’s large language model. Through retrieval-augmented generation (RAG) using FAISS embedding’s, the assistant provides context-aware answers to queries on admissions, academics, facilities, and campus operations. Experimental evaluation demonstrates a major improvement in response speed reducing typical resolution times from 24–48 hours to real-time interaction while maintaining reliable performance under concurrent loads. The platform significantly reduces repetitive administrative tasks and improves user satisfaction. Planned enhancements include multilingual capability, voice-based interaction, and integration with academic management systems.},
        keywords = {Artificial Intelligence, Chatbot Systems, Generative AI, Information Retrieval, Campus Automation.},
        month = {December},
        }