Published on: May 2026
BEBOT AI CHATTING BOX
R. Yuvetha
Dr. P. N. Shiammala
Tamil Nadu India
Article Status
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Abstract
BEBOT integrates NLP models, intent recognition, and response generation mechanisms to deliver meaningful and engaging conversations. The chatbot is trained using conversational datasets and enhanced with contextual memory to improve response accuracy. Various techniques such as tokenization, sentiment analysis, and deep learning-based language models are utilized.
The system is evaluated based on response accuracy, user satisfaction, and contextual relevance. Experimental results demonstrate that BEBOT provides efficient, natural, and human-like interactions, making it suitable for applications such as virtual assistants, customer support, and educational tools.
Keywordз: Artificial Intelligence, Chatbot, Natural Language Proceззing, Machine Learning, Converзational AI
How to Cite this Paper
Yuvetha, R. (2026). BEBOT AI CHATTING BOX. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.037
Yuvetha, R.. "BEBOT AI CHATTING BOX." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.037.
Yuvetha, R.. "BEBOT AI CHATTING BOX." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.037.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: May 03 2026
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