Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) has enabled the creation of intelligent systems capable of understanding and interacting with humans naturally. Among its many applications, the AI-based chatbot stands out as one of the most widely used and influential innovations. A chatbot is a conversational agent that uses Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) to engage in human-like communication through text or speech. It can analyze queries, understand intent, and generate meaningful responses in real-time. This review paper provides a detailed study of AI chatbot development, architectures, methodologies, and use cases across domains such as education, healthcare, customer service, and e-commerce. It reviews more than 25 recent research papers (2020–2025) and integrates case studies of real-world systems like ChatGPT, IBM Watson, Google Bard, and Replika. The paper discusses the evolution of chatbots from early rule-based systems to transformer-based models, identifies current challenges such as context management, ethics, and scalability, and explores future trends in multimodal chatbots, emotion detection, and explainable AI.
Authors: Shweta Tarade, Tanvi Mokashie, Pranjali Yadav, Shreya Nikam, Prof. Prajwal pawar
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4416169846
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