SMART BANKING MANAGEMENT SYSTEM USING DEEP LEARNING AND CONVERSATIONAL AI
DOI:
https://doi.org/10.29121/ijetmr.v10.i2.2023.1598Keywords:
Banking, Deep Learning, Conversational Ai, Management, BrmsAbstract
The Banking Record Management System (BRMS) aims to revolutionize traditional banking operations by addressing critical challenges such as security vulnerabilities, inefficiencies in manual record keeping, and delayed customer services. By integrating advanced technologies like Long Short-Term Memory (LSTM) networks and intelligent chatbots, the system ensures secure, efficient, and real-time management of banking records while enhancing customer experience.
The core functionality of BRMS is to provide a centralized, highly secure database for handling sensitive customer details, account records, and transaction histories. Using LSTM networks, the system learns from historical transaction patterns, predicts potential fraudulent activities, and ensures error reduction by automating complex financial processes. This predictive modeling not only enhances data accuracy but also strengthens data security, preventing unauthorized access through multi-tiered authentication and encryption mechanisms.
The inclusion of chatbots significantly improves customer interaction by offering 24/7 support for balance inquiries, account management, transaction tracking, and loan applications. These AI-driven chatbots automate the resolution of common queries, thereby reducing the workload on bank employees and ensuring faster data retrieval and customer satisfaction. The system also supports automated report generation, allowing banking officials to easily access daily, monthly, and yearly financial summaries critical for strategic decision-making.
Further, BRMS emphasizes automation of core banking processes such as account creation, fund transfers, and withdrawals, minimizing human errors and increasing overall productivity. Regular data backup and recovery mechanisms ensure business continuity even during system failures or disasters. Additionally, user authentication and role-based authorization safeguard sensitive information, granting access only to authorized personnel.
By seamlessly merging predictive analytics, automated chat interfaces, and secure record management, the proposed BRMS project promises a reliable, fast, and intelligent banking environment, thereby meeting the evolving needs of modern banking institutions and their customers.
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