AI-Powered Chatbot: Enhancing User Interaction and Information Accessibility at SPMVV

Authors

  • N V Muthu Lakshmi Author
  • V. Anitha Author
  • G. Prathyusha Author
  • K Chandana Sree Author

Keywords:

Artificial Intelligence, Chatbot System, Keyword-Based Recognition, Natural Language Processing

Abstract

Artificial Intelligence (AI) has revolutionized various industries, with chatbots emerging as one of its most practical applications. This paper explores the different types of AI, categorizing them based on capabilities and functionality. It further discusses how AI-driven chatbots are transforming multiple domains, including education, customer service, and entertainment. By reviewing existing research, the study highlights the advantages and challenges of implementing chatbot technology in real-world scenarios. A significant focus of this paper is the development of a chatbot system for Sri Padmavati Mahila Visvavidyalayam (SPMVV). The chatbot is designed to assist users by responding to frequently asked questions using predefined rules and keyword-based recognition. The implementation is carried out using Python and Flask, ensuring efficient and dynamic responses to user queries. The methodology involves natural language processing techniques to enhance the chatbot’s accuracy and relevance. The chatbot is deployed on the PythonAnywhere platform, enhancing accessibility and automation. The results indicate that the chatbot significantly improves access to information, reducing the need for manual assistance. Users benefit from quick and accurate responses, making communication more efficient. Future enhancements may include the integration of machine learning algorithms to refine responses over time and improve the chatbot's adaptability to complex queries. This study contributes to the growing field of AI-driven conversational agents and their practical applications in academic environments.

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Published

01-04-2025

How to Cite

AI-Powered Chatbot: Enhancing User Interaction and Information Accessibility at SPMVV. (2025). GAMANAM: Global Advances in Multidisciplinary Applications in Next-Gen And Modern Technologies, 1(2), 133-138. https://gamanamspmvv.in/index.php/gamanams/article/view/32