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@article{194960,
        author = {TANVI MUNNA PUNDE and Kashish Pradeep Wankhede and Tannu Bhimrao Bondre and Shejal Moreshwar Nikude and Aliya Praveen Mohammad sadique and Prof. Swapna kamble},
        title = {Cummins eCampus},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {6559-6567},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194960},
        abstract = {educational institutions continue to rely on conventional communication mechanisms including physical notice boards manual enquiry counters and static websites resulting in information delays accessibility limitations and increased administrative burden this paper presents an ai-powered chatbot system developed for college information management that addresses these limitations through intelligent automation the proposed system integrates artificial intelligence ai natural language processing NLP and speech recognition technologies to process and respond to queries regarding academic schedules administrative procedures campus facilities and examination information the chatbot implements bilingual support English and Hindi  with both text and voice-enabled interaction modalities accommodating diverse user preferences and accessibility requirements a hybrid architecture enables operation in online and limited offline modes using the Vosk speech recognition engine ensuring functionality during connectivity constraints the system is deployed as a cross-platform solution comprising a web-based interface and android mobile application providing ubiquitous access to institutional information experimental evaluation with 500 queries across 25 intent categories demonstrates.},
        keywords = {},
        month = {March},
        }