🏦 Bank Management System (Python + MySQL)

📖 Project Overview

This project is a Bank Management System built with Python (for logic) and MySQL (for data storage).
It simulates real-world banking operations, enabling users to perform account management and transaction handling through a command-line interface.

The system is designed with data integrity, usability, and persistence in mind, making it a great foundation for understanding database-driven applications.

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✨ Key Features

• Account Creation → Auto-generates unique 8-digit account numbers.
• Transaction Handling → Deposit and withdraw funds securely with balance validation.
• Balance Enquiry → Retrieve real-time balance for any account.
• Customer Information → Display account holder details with one query.
• Account Closure → Securely delete accounts with confirmation.
• Database Integration → Persistent data storage in MySQL.

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🗂️ Database Design

The project uses a normalized database schema to ensure clarity and data consistency:

1. account_table – Stores personal and static account details.
2. amount_table – Stores financial data and is updated after each transaction.

This separation ensures data modularity, making it easier to track customer details and balances independently.

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⚙️ Tech Stack

• Programming Language: Python 3.x
• Database: MySQL
• Connector: mysql-connector-python

Install requirements:

pip install mysql-connector-python

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📸 Preview

▶️ How to Run

1. Import the SQL schema into MySQL:

   SOURCE bank_management.sql;

2. Update credentials inside the Python script:

   conn = mysql.connector.connect(
       host="localhost",
       user="root",
       password="YOUR_PASSWORD",
       database="BANK_MANAGEMENT"
   )

3. Run the program:

   python bank_management.py

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🔎 Findings & Insights

• Data Validation – Implemented error handling for invalid accounts and insufficient balances.
• Scalability – Separated tables for accounts and balances, making the system extensible for features like transaction history.
• Efficiency – Used direct SQL queries for CRUD operations, ensuring fast execution.
• Reliability – Added confirmation before critical actions (like account closure).

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🚀 Challenges & Solutions

• Challenge: Handling duplicate account numbers.
  Solution: Used MAX(AccNo) + 1 logic to always generate unique IDs.

• Challenge: Ensuring consistent balance updates across deposits/withdrawals.
  Solution: Transactions are committed only after successful SQL execution.

• Challenge: Preventing accidental data loss.
  Solution: Account closure requires explicit user confirmation.

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📈 Outcomes & Impact

• Simplified banking operations in a digital format.
• Provided a learning foundation for database-driven applications.
• Enhanced understanding of Python-MySQL integration.
• Built a base that can be extended into web apps or GUIs.

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🌟 Future Improvements

• Add user authentication & roles (Admin/Customer).
• Maintain transaction history logs for transparency.
• Build a GUI (Tkinter/Flask/Django) for better usability.
• Deploy on cloud with remote database access.

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⭐ Support

If you find this project useful, please consider giving it a star ⭐ on GitHub — it motivates me to improve and share more projects!