BEBOT AI CHATTING BOX

BEBOT AI CHATTING BOX Dr. P. N. Shiammala Dr. P. N. Shiammala Department of Computer Applications, VELS Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu, India R. Yuvetha R. Yuvetha Department of Computer Applications, VELS Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu, India

Conversational Artificial Intelligence has transformed the way humans interact with digital systems. This paper presents BEBOT, an AI-powered chatbot designed to simulate human-like conversations using Natural Language Processing (NLP) and Machine Learning techniques. The system is developed to provide intelligent, context-aware, and emotionally adaptive responses to user queries in real time. 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
05 03 2026 1 10 10.55041/ijcope.v2i5.037 https://ijcope.org/article/bebot-ai-chatting-box/