Chatbot-Enabled Banking System Automating Customer Service and Transactions.
Murugani Bhanu Prasad, Bhanu Srinija Pasupuleti, Anusha Kailasa,
Kare Bharath Kumar, Kolli Bharat Reddy
Dr. K. Little Flower, Assistant Professor
Artificial Intelligence and Machine Learning
Department Of Computer Science and Engineering
Malla Reddy University, Hyderabad, Telangana, India
ABSTRACT
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.
Keywords : Bank System Application, AI voice Chatbot, Account Operations and Customer Engagement, Natural Language Voice commands, Transaction details, Secure.