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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM22652
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Using Python programming and the SQLite database, this banking system application aims to give users a seamless and secure banking experience. This application has an additional feature of an AI voice chatbot in addition to the standard banking features like account creation, deposit and withdrawal of funds, and viewing transaction history. The proposed system aims to offer bank customers a simple and effective way to handle transactions, manage their accounts, and request assistance using natural language voice commands. The chatbot will be integrated with the bank’s database, providing users with accurate and up-to-date information about their accounts and transactions. Real-time fraud detection capabilities are also provided by this banking system application. The system can identify and stop fraudulent transactions as they happen using machine learning algorithms, assisting in preventing customers from suffering financial loss as a result of fraudulent activities. Users will be able to request transaction histories, inquire about account balances, and get help with routine banking tasks like fund transfers and bill payments from the chatbot. Users will experience the chatbot’s conversational interface in a more engaging and personalized way, enabling them to communicate with the bank in a way that feels more intuitive and natural. The overall goal of this project is to create a complete bank system management solution with an additional AI voice chatbot feature. The suggested system will give customers a quick and easy way to manage their accounts, complete transactions, and get support. It will also give the bank a strong tool for customer engagement and retention.
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Publication Date
5/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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