aspg-25-2903-1792223020 20261017074340 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cognitive Human-Computer Interaction JCHCI 2771-1471 2771-1463 2024 8 2 Sanjana J. Department of Information Science and Engineering, MIT Tha.ndavapura, India Mahadev Prasad Y. N. Department of Information Science and Engineering, MIT Tha.ndavapura, India Srinivas B. Department of Information Science and Engineering, MIT Tha.ndavapura, India Sharanya S. Department of Information Science and Engineering, MIT Tha.ndavapura, India Madhusudhan M. Department of Information Science and Engineering, MIT Tha.ndavapura, India This paper unveils an advanced chatbot engineered to cater specifically to college-related inquiries. Harnessing the power of BARD and incorporating a wake word activation system with automatic speech recognition, the chatbot offers an enhanced user experience marked by both linguistic sophistication and spoken command initiation. The methodology encompasses the nuanced process of pre-training on diverse corpora, fine-tuning to optimize responsiveness to college-specific queries, and the seamless integration of intent classification and entity recognition. These facets collectively empower the chatbot to understand and respond effectively to the intricacies of user inputs. A comprehensive knowledge base is curated to ensure not only accurate information retrieval but also to foster a depth of contextual understanding. This project signifies a pioneering leap in providing an innovative, user-friendly, and ethically driven solution for addressing college-related queries through natural language interactions. By showcasing practical advancements in chatbot technology tailored to the educational landscape, this research contributes to the evolving landscape of intelligent virtual assistants. 2024 10 14 2903 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCHCI.080203 https://americaspg.com/journal/25/article/2903 https://americaspg.com/storage/articles/manuscripts/01KWW7XBKANP6WCC133JKK2HA3.pdf