AI-Powered Customer Support Chatbot Using Large Language Models and Prompt Engineering
Abstract & Keywords
The rapid growth of digital services has increased the need for efficient and automated customer support systems. This paper presents an AI-powered customer support chatbot designed using Large Language Models (LLMs), Natural Language Processing, and prompt engineering techniques. The proposed system understands user queries and generates contextually relevant responses to frequently asked questions. API integration is used to retrieve required information and provide automated responses in real time. Prompt engineering techniques are applied to improve response relevance, consistency, and clarity. The system aims to reduce repetitive manual support tasks while providing users with faster access to information. The proposed chatbot architecture can be adapted for applications in education, e-commerce, healthcare administration, and other service-oriented domains. The study demonstrates how LLM-based conversational systems can provide a practical and scalable approach to customer support automation while improving overall user interaction.
Author Affiliations
References Listing (3)
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