Journal of Advances in Developmental Research

E-ISSN: 0976-4844     Impact Factor: 9.71

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 July-December 2026 Submit your research before last 3 days of December to publish your research paper in the issue of July-December.

A Natural Language Processing–Based Chatbot for Enhancing Corporate Customer Service and Engagement

Author(s) Mr. Harshavarthan M, Prof. Josephine Amala M
Country India
Abstract The rapid growth of Artificial Intelligence (AI) and Natural Language Processing (NLP) has improved customer interaction through intelligent chatbots. This project presents a Conversational AI Assistant designed to enhance customer engagement and support business operations through real-time, human-like communication. The system uses NLP, Machine Learning, and MLP techniques to understand user queries and provide accurate responses. It helps automate customer support, reduce manual workload, improve operational efficiency, and increase customer satisfaction. The chatbot is developed using Python, NLTK, TensorFlow, and Django Framework, making it suitable for applications such as customer service, e-commerce, healthcare, and banking
Keywords Natural Language Processing, Conversational AI, Chatbot, Machine Learning, Customer Engagement, Business Automation.
Field Computer
Published In Volume 17, Issue 2, July-December 2026
Published On 2026-08-19

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