Issue |
ITM Web Conf.
Volume 74, 2025
International Conference on Contemporary Pervasive Computational Intelligence (ICCPCI-2024)
|
|
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Article Number | 01017 | |
Number of page(s) | 9 | |
Section | Artificial Intelligence and Machine Learning Applications | |
DOI | https://doi.org/10.1051/itmconf/20257401017 | |
Published online | 20 February 2025 |
Visa-Vanguard: An Nlp-Based, Aipowered Intelligent Chatbot for Streamlining International Student Support Services
Department of Computer Science and Engineering, Nalla Narasimha Reddy Education Society’s Group of Institutions, Hyderabad, India
Navigation of immigrant and visa procedures stands as a heavy undertaking, particularly for global college students trying to understand the complicated necessities and procedures. The Visa Vanguard project is supposed to simplify the adventure in creating an sensible chatbot supplying customized real-time help via making use of natural language processing (NLP) and machine learning (ML) to apprehend consumer queries even as also giving tailored support on immigration and visas. The improvement focused on building a rich knowledge base in current immigration rules and visa requirements using sophisticated NLP strategies to efficiently cope with queries. Machine learning in addition enhances the chatbot for providing customized guidelines based totally on unique person scenarios. Along with all of those technical features, smooth and intuitive interactions are developed from a person-friendly interface. This is a chatbot that sincerely makes an impact on how people gather get right of entry to to immigration records. For that reason, it is destined to aid users empowered with ready and timely assistance to reduce stress navigating migration pathways. Future plans include the addition of support across multiple languages, expanding its knowledge base to encompass all sorts of scenarios.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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