Chatbot For College Website

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Chatbot For College Website

Authors : Prof. Vikas Bhowate, Anushka Kaole, Anushka Kaole , Malhar Ramteke

DOI : 10.46335/IJIES.2024.9.5.19

Abstract :  In the digital age, college websites serve as vital  platforms for information propagation, student engagement, and administrative communication. Nonetheless, exploring these sites can frequently be annihilating for clients, prompting disappointment and withdrawal. This abstract presents the development of a sophisticated chatbot system designed
specifically for college websites, leveraging Llamindex, ChromaDB, and Django frameworks. Llamindex, a natural language processing (NLP) tool, fills in as the foundation of the
chatbot, empowering it to understand and answer client questions successfully. ChromaDB, a comprehensive knowledge base, empowers the chatbot with a vast storehouse of information
relevant to the college domain, ranging from academic programs to campus events. Furthermore, Django, a high-level Python web framework, provides the robust infrastructure necessary for
seamless integration and deployment of the chatbot within the college website. Key features of the chatbot include intelligent conversation handling, dynamic content retrieval, and proactive
engagement with users to fulfill their diverse needs. Through persistent learning and variation, the chatbot endeavors to convey precise and ideal reactions while encouraging an easy to
understand interface for easy collaboration. Its implementation promises to enhance accessibility, efficiency, and overall satisfaction for students, faculty, and visitors alike, thereby
elevating the digital presence of the college community in today's technological landscape.