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@article{168361,
        author = {SHASHI KANT OJHA and Abhishek kumar and Tanvi Bhole and Sheenam Naaz},
        title = {Rule based AI chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {639-646},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168361},
        abstract = {This research work presents an in-depth review of AI-based rule-based chatbots, focusing on their evolution, applications, and limitations from 2021 to 2024. Rule-based chatbots operate by following predefined rules and decision trees to facilitate human-computer interaction. They are commonly employed in customer service, healthcare, and educational domains due to their simplicity and control. However, with the increasing demand for more dynamic and context-aware systems, these chatbots face challenges in scalability, adaptability, and contextual understanding. This paper examines the strengths and drawbacks of rule-based systems, with particular emphasis on their limitations in handling complex, unpredictable conversations. Additionally, we highlight advancements that aim to improve their performance through the integration of AI methodologies and suggest future directions for enhancing chatbot capabilities in a rapidly evolving landscape. The analysis offers valuable insights for researchers and developers working on conversational agents and their underlying technologies.},
        keywords = {Rule based chatbots, conversational agents, artificial intelligence, chatbot limitations, scalability, contextual understanding.},
        month = {October},
        }