International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The abstract Artificial Intelligence (AI)-powered chatbots are some of the most creative applications of AI, which has significantly changed customer service. Customer service has traditionally relied on human operators to consistency respond to inquiries, resolve issues, and ensure customer satisfaction. However, the cost, scalability, and of current approaches are limited as the demand for multilingual communication, 24/7 support, and personalized experiences increases. A dependable solution to these issues is provided by chatbots that use artificial intelligence (AI) and are built on machine learning (ML), natural language processing (NLP), and deep learning models.

This study looks at the planning, creation, and evaluation of an AI-powered chatbot for customer support. The paper begins by examining the challenges that customer service is now facing and outlining the justifications for integrating AI in this industry. It offers thorough design specifications, system requirements, and a feasibility assessment using UML diagrams and architectural modeling. The development process, which involves selecting appropriate lifecycle models, frameworks, and algorithms for chatbot implementation, is also covered in the project. White-box and black-box testing are two testing methods used to ensure the system is correct and effective.

Downloads: | DOI: 10.17148/IJARCCE.2025.14837