Virtual Voice Banking Assistant

Authors

  • Mr. Suryavamshi Sandeep Babu Assistant proffesor in Dept. of CSE (AI&ML),, Dept. of CSE (AI&ML),Vignan's Institute of Management and Technology for Women, Kondapur, Ghatkesar, India Author
  • M. Prasanna, 3J. Pooja, 4T. Rishitha, 5J. Akhila, 6M. Soukya B. Tech 3rd year Student, in Dept. of CSE (AI&ML),, Dept. of CSE (AI&ML),Vignan's Institute of Management and Technology for Women, Kondapur, Ghatkesar, India Author

Keywords:

Voice Banking, Voice Recognition, Face Authentication, Natural Language Processing (NLP), Speech Interface.

Abstract

In today's rapidly digitizing world, access to financial services remains a challenge for elderly individuals and those with limited literacy. Traditional banking interfaces often rely on text-heavy menus and manual inputs, which can be intimidating or inaccessible to such users. In an effort to fill this gap, this project presents a voice-operated banking assistant that uses natural language processing and facial recognition technology to provide a user-friendly, secure, and easy banking experience. Secure authentication is facilitated by the use of Python-based face recognition, swapping cumbersome PINs or passwords for a swift facial scan. Backend operations, including transaction processing and data management, are handled efficiently using PHP and MySQL.

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Published

2025-04-25

Issue

Section

Articles

How to Cite

Virtual Voice Banking Assistant. (2025). International Journal of Engineering and Science Research, 15(2), 351-363. https://ijesr.org/index.php/ijesr/article/view/42

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