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@article{164189,
        author = {Archit Biswas and Meet Bhave and Raaj Londhe and Harsh Sirsath and Dr. Kishor G. Sawarkar},
        title = {AI Chatbot for College Enquiry System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {1146-1152},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164189},
        abstract = {In the digital era, Chatbots stand as transformative tools, leveraging Natural Language Processing (NLP) and Deep Learning to reshape user experiences. This synergy of NLP and Deep Learning equips chatbots with the ability to comprehend and generate human language, adapt responses through data analysis, and engage users in dynamic, human-like conversations. By understanding context, inferring intent, and providing relevant responses, chatbots enhance user interactions across industries, from customer support to e-commerce and healthcare. Advanced NLP and Deep Learning technologies enable chatbots to automate tasks, personalize experiences, and optimize resource allocation, leading to significant cost savings for businesses. Moreover, operational efficiencies translate into improved response times and heightened customer satisfaction. As chatbots continue to evolve, driven by NLP and Deep Learning advancements, they promise to reshape the digital landscape, offering transformative impacts on user experiences and business operations. This paper aims to elucidate the crucial role of NLP and Deep Learning in chatbot development and their potential to revolutionize the digital ecosystem for the better.},
        keywords = {Chat-Bot, Rasa, AI, AI Chat-Bot, NLP, NLG, Intent, Domain, LLM},
        month = {},
        }