computer science project on bank management system

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bank-management-system

Here are 90 public repositories matching this topic..., ssoad / bankingsystem.

Bank Management System using Java Swing

• Updated Dec 13, 2023

amulifts / bank-management-system-c

Bank management System in C (mini project)

• Updated Oct 23, 2022

halts440 / Bank-Management-System

Bank Management System in Java Swing

• Updated Aug 18, 2023

sachinl0har / Bank-Management-System-Cpp

Bank Management System in C++

• Updated Apr 10, 2021

amulifts / bank-management-system-cpp

Bank management System in C++ (mini project)

OJASisLive / Bank-Management-System-Python-SQL

A FULL-CLI (not very) simple bank management project in Python / my CS project...

• Updated Jan 29, 2023

Adan-Asim / Java-Projects

Small and enormous scaled projects developed using Java Language

• Updated Jul 19, 2021

sawongam / Bank-Management-System-in-Java

A basic banking system, providing account login, creation, balance inquiry, fund transfers, and more.

• Updated Feb 25, 2024

AsaadNA / Bank-Managment-System

A simple managment system made with 8086

• Updated Jun 23, 2021

AteeqRana7 / Banking-Management-System

This is a Banking Management System built using the concepts of Object Oriented Programming & Data Structures. The following data structures have been implemented in this project; LinkedList, Queues.

hanilr / bank-management-system

Bank Management System - Written In C

• Updated Oct 1, 2021

sn2606 / emu8086-project

Bank Management System with admin and gen-user modules

• Updated Nov 30, 2021

MarvelousAnkit / Banking-Management-System-using-My-SQL---PYTHON

In this project we have created a Virtual Bank (COLONY BANK OF INDIA) using Python and MySQL. Data entered by the user are stored in MYSQL database in tabular form. Here We have done CRUD Operation. The Best Part of this code is that it is 100 % user friendly because of excess use of exceptional handling.

• Updated Aug 28, 2022

codewithpom / Bank-Management-cpp

A simple bank management system in C++

• Updated Dec 3, 2023

kunaladarsh / Banking-Management-System-Application

Banking Management System using Java-AWT, Swing & MYSQL DataBase.

• Updated Nov 9, 2023

babudevandla / demo_bank_service

demo_bank_service

• Updated Mar 14, 2024

OumaymaRedissi / Banking-System-in-Java

Bank management system using JavaFX and implementing the MVC

• Updated Jan 20, 2022

Manohar-1 / Bank-Management-System

Bank Management System is a Java application that allows users to manage their bank accounts. It is built using the Java programming language, the Swing graphical user interface library, and the MySQL database management system.

• Updated Sep 9, 2023

jaigora24 / BankManagementSystem

Bank Management System using Python (Using pickle, os, pathlib)- Mini Project

• Updated Mar 12, 2021

AhmedIssa11 / Online-Banking-System

Online Banking System - Desktop Application

• Updated Jan 19, 2021

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Python Scholar

Bank Management System Project in Python

In this tutorial, we will build Bank Management System Project in Python. In today’s world, managing a bank and its customers’ accounts manually can be a daunting task. Therefore, automating the process can improve efficiency and reduce errors. This is where a Bank Management System comes in handy.

This project is developed using Python, a popular programming language known for its simplicity and ease of use. With the Bank Management System project in Python, you can manage customer accounts, process transactions, generate reports, and much more.

This project is not only useful for banks but it can be used for learners to build a bank management college project. The system provides a user-friendly interface that enables users to perform transactions easily and quickly.

Overall, this Bank Management System project in Python is a practical and valuable tool for anyone looking to streamline their financial operations.

What is Bank Management System?

A Bank Management System is a software application that helps banks and financial institutions manage their operations and transactions. It is designed to automate banking processes and provide a platform for customers to access their accounts and perform transactions online.

The system provides various features such as customer account management, transaction processing, balance checking, account statements, fund transfers, bill payments, loan management, and more. Bank Management Systems also offer features for bank employees to manage customer data, process transactions, and generate reports.

By using a Bank Management System, banks can streamline their operations and reduce the workload of their employees. Customers can also access their accounts and perform transactions from the comfort of their homes or offices, reducing the need to physically visit the bank. The system also provides a secure platform for transactions, ensuring that customers’ personal and financial information is kept safe.

Project Prerequisites:

In this python project, you just need to know basic python. That includes.

• Python print() function
• Python Input / Output function
• Python functions
• Python Class

What will you learn?

• End to End development of python project.
• Basic Input / Output implementation.

Outlines of the Project:

Define the required classes, implement the user interface, implement the logic.

• Test the system

How to make Bank Management System Project in Python

Let’s start developing a bank management system project in python step by step.

You will need to create a few classes for this project, such as a Bank class, Account class, and Transaction class.

• Bank : contains a list of accounts and methods to add and remove accounts.
• Account : contains the account number, owner name, balance, and methods to deposit, withdraw, and get the balance.
• Transaction : contains the transaction amount and type (deposit or withdrawal).

Bank class:

• Properties: name, accounts (list)
• init(self, name): initializes the Bank object with a given name and an empty list of accounts.
• add_account(self, account): adds an Account object to the accounts list.
• remove_account(self, account): removes an Account object from the accounts list.

Account class:

• Properties: number, owner, balance, transactions (list)
• init(self, number, owner, balance): initializes the Account object with a given account number, owner name, and balance.
• deposit(self, amount): adds the amount to the balance and appends a Transaction object to the transactions list with the type ‘Deposit’.
• withdraw(self, amount): subtracts the amount from the balance if there are sufficient funds and appends a Transaction object to the transactions list with the type ‘Withdrawal’.
• get_balance(self): returns the current balance of the account.

Transaction class:

• Properties: amount, type
• init(self, amount, type): initializes the Transaction object with a given amount and type.

Next, you’ll need to create a user interface for your Bank Management System.

Here’s an outline for creating a user interface in a Bank Management System project in Python:

• Welcome message: display a welcome message to the user and prompt them to choose an option.
• Options menu: display a menu with the following options:
• Create account: prompts the user to enter the account number, owner name, and initial balance.
• Deposit: prompts the user to enter the account number and deposit amount.
• Withdraw: prompts the user to enter the account number and withdrawal amount.
• Check balance: prompts the user to enter the account number and displays the current balance.
• Transaction history: prompts the user to enter the account number and displays a list of transactions for the account.
• Quit: exits the program.
• User input: use the input() function to get the user’s choice and input data.
• Data validation: use conditionals to check the validity of the user’s input, such as whether the account number exists, the deposit amount is positive, or the withdrawal amount does not exceed the account balance.
• Output: use the print() function to display the results of the user’s actions, such as the new account balance or the transaction history.
• Loop: use a loop to repeat the options menu until the user chooses to quit.
• Initialize the Bank object with a name and an empty list of accounts.
• Use a loop to display the options menu and get the user’s choice.
• Depending on the user’s choice, perform the corresponding action using conditionals:
• Create account: create a new Account object with the given account number, owner name, and balance, and add it to the accounts list of the Bank object.
• Deposit: search for the Account object with the given account number and call its deposit() method with the given amount.
• Withdraw: search for the Account object with the given account number and call its withdraw() method with the given amount.
• Check balance: search for the Account object with the given account number and call its get_balance() method to display the current balance.
• Transaction history: search for the Account object with the given account number and display the list of transactions stored in its transactions property.
• Quit: exit the program.
• Use loops and conditionals to search for Account objects with the given account number, and check their validity before performing transactions. For example, if the account number is not found, display an error message.
• Use lists to store the transaction history for each Account object, and update it whenever a deposit or withdrawal is made.

Test the system:

Now that you have the classes and user interface implemented, you can test the Bank Management System. Here’s an example of how you can create an account, deposit money, and withdraw money:

Testing is an important part of software development, including for a Bank Management System project in Python. After defining the classes and implementing the logic, it is essential to test the system to ensure that it works as expected and meets the requirements.

Testing can involve a variety of methods, such as unit testing, integration testing, and acceptance testing. Unit testing involves testing individual components of the system, such as classes and methods, to ensure that they work correctly. Integration testing involves testing how different components of the system work together to ensure that they integrate properly. Acceptance testing involves testing the system as a whole to ensure that it meets the requirements and expectations of the users.

In a Bank Management System project in Python, testing can involve creating test cases for each of the system’s features, such as creating an account, making a deposit, withdrawing funds, checking the balance, and viewing the transaction history. Test cases can include both valid and invalid inputs to ensure that the system handles errors and exceptions properly.

Download bank management system projection python source code

Conclusion on bank management system project in python.

In conclusion, a Bank Management System project in Python can be a useful tool for managing banking operations and transactions. By defining classes and implementing the logic, the system can provide various features such as creating and managing accounts, depositing and withdrawing funds, checking balances, and viewing transaction history.

What is a Bank Management System project in Python?

A Bank Management System project in Python is a software application that allows users to perform banking transactions such as creating and managing accounts, depositing and withdrawing funds, checking balances, and viewing transaction history.

What are the benefits of developing a Bank Management System project in Python?

Developing a Bank Management System project in Python provides practical experience in object-oriented programming, data structures, algorithms, and software development practices. It can also be customized to meet specific business needs and requirements.

What are the basic requirements for developing a Bank Management System project in Python?

The basic requirements for developing a Bank Management System project in Python include defining classes, implementing the logic, creating a user interface, and testing the system.

What tools and libraries can be used for creating a user interface in a Bank Management System project in Python?

Various tools and libraries can be used for creating a user interface in a Bank Management System project in Python, such as tkinter, PyQt, or wxPython.

What testing methods can be used for testing a Bank Management System project in Python?

Various testing methods can be used for testing a Bank Management System project in Python, such as unit testing, integration testing, and acceptance testing.

Can a Bank Management System project in Python be used in real-life banking operations?

Yes, a Bank Management System project in Python can be used in real-life banking operations. However, it is important to ensure that the system meets regulatory and security requirements and is thoroughly tested before deployment.

How can a Bank Management System project in Python be extended or customized to meet specific business needs?

A Bank Management System project in Python can be extended or customized by adding new features, such as interest calculations, loan management, or online banking services, or by integrating with other systems and services.

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Bank Management- Python Project for class 12 MySQL Connectivity

Bank management- python project class 12.

Source Code:

Explanation:

This is a Python code for a basic bank transaction system. It uses a MySQL database to store account and transaction details.

The code creates a “bank” database if it does not already exist and then creates two tables in the database – “bank_master” and “banktrans”. The “bank_master” table stores details of each account holder, such as account number, name, city, mobile number, and account balance. The “banktrans” table stores transaction details, such as account number, amount, date of transaction, and transaction type (deposit or withdrawal).

The code then presents a menu to the user with the following options:

• Create account
• Deposit money
• Withdraw money
• Display account

If the user chooses to create an account, the code prompts for details such as account number, name, city, and mobile number. It then inserts the details into the “bank_master” table and sets the account balance to 0.

If the user chooses to deposit money, the code prompts for the account number and amount to be deposited. It then inserts a transaction record into the “banktrans” table with the account number, amount, current date, and transaction type “d”. It also updates the account balance in the “bank_master” table.

If the user chooses to withdraw money, the code prompts for the account number and amount to be withdrawn. It then inserts a transaction record into the “banktrans” table with the account number, amount, current date, and transaction type “w”. It also updates the account balance in the “bank_master” table.

If the user chooses to display an account, the code prompts for the account number and then retrieves and displays the account details from the “bank_master” table.

If the user chooses to exit, the code breaks out of the while loop and ends.

Functions used in this Python code

• mysql.connector.connect() : This function is used to create a connection to a MySQL database. It takes in several parameters, such as the host, user, and password, and returns a MySQLConnection object.
• cursor() : This method is called on a MySQLConnection object and returns a Cursor object. A Cursor object is used to interact with a MySQL database.
• execute() : This method is called on a Cursor object and is used to execute a MySQL query. It takes a single parameter, which is the MySQL query to be executed.
• commit() : This method is called on a MySQLConnection object and is used to commit any changes made to the database. This is necessary to ensure that changes made to the database are permanent.
• input() : This function is used to take user input. It prompts the user to enter a value and returns the input as a string.
• str() : This function is used to convert a value to a string.
• int() : This function is used to convert a value to an integer.
• break : This keyword is used to break out of a loop.
• if...elif...else : This is a conditional statement used to execute different blocks of code depending on the condition. The if block is executed if the condition is true, the elif block is executed if the previous condition is false and the current condition is true, and the else block is executed if all the previous conditions are false.
• for loop: This is a loop that is used to iterate over a sequence of values. In this code, it is used to iterate over the result of a MySQL query and print the values.
• primary key : This is a column or group of columns in a database table that uniquely identifies each row. In this code, the “acno” column in the “bank_master” table is set as the primary key, which means that each account number can only appear once in the table.
• foreign key : This is a column or group of columns in a database table that references the primary key of another table. In this code, the “acno” column in the “banktrans” table is set as a foreign key that references the “acno” column in the “bank_master” table. This ensures that each transaction in the “banktrans” table corresponds to a valid account in the “bank_master” table.

You should also check:

Important questions for practical viva, class 12 practical file for term 2 practical examination, more python projects, related post, simple billing system in python for class 11, marriage bureau management system in python project for class 12, food order system python project class 12.

Project Idea: Bank Management System

Project description.

The Bank Management System is a Python-based application that serves as a comprehensive solution for managing bank accounts and related operations. This system is designed to provide a user-friendly interface for both customers and administrators to interact with the bank's database efficiently. The application utilizes MySQL as the database management system for secure storage and retrieval of account information.

Sample Output Key Features of Bank Account Management System

Before you start designing your program, it's crucial to have a clear understanding of the problem you're trying to solve. Let's revisit the key features of our Bank Account Management System:

User Authentication

• Users must log in with their account number and password to access their accounts.
• Passwords are securely stored in the database using hashing techniques.

Customer Operations

• Customers can check their account balance.
• Customers can deposit funds into their accounts.
• Customers can withdraw funds from their accounts.
• Customers can transfer funds to other accounts within the bank, ensuring convenient money transfers.
• Customers can change their account passwords for security purposes.

Admin Operations

• Administrators can log in with a special password to access admin features.
• Admins can create new customer accounts.
• Admins can update customer account details, including their balance.
• Admins can delete customer accounts.
• Admins can search for customer accounts by account number or account holder's name.
• Admins can view a list of all customer accounts.

How To Code The Project

To make your project organized and manageable, it's essential to divide your code into smaller functions, each with a specific purpose and responsibility.

Begin with the most basic functionalities, Once these are working, gradually add more features. Don't hesitate to ask for help or guidance from instructors, classmates, or online communities. If you find making this project is too complex, this sample project might be useful for you.

Prerequisites

Before you begin, make sure you have the following installed: Python: Download Python MySQL: Download MySQL mysql-connector-python: install it using pip pip install mysql-connector-python

About Project

Python was used to create the Bank Management System project. There is a database file and a Python script named “main.py” in the project file. This is a simplistic system with a user-friendly interface. It is possible to create a new account, view a list of account holders, check the account’s balance, close the account, and alter account details. Such a login system is absent from this modest project. This indicates that he or she will utilize all of these capabilities without difficulty. Because it is so easy to use, he or she may quickly examine all of the bank account details. Python code for banking system is easy and simple to use.

A user can open an account in the Bank Management System by providing their name and account number, selecting a checking or savings account, and entering an initial deposit of $500 or more. Users can deposit or withdraw money from their accounts by typing their account number and the required amount. In addition, the user has the option to view the account balance, which displays the account number and the balance. In addition, they have access to a list of all users with accounts. In addition, users can adjust their account type and details if they so want.

The clear dashboard of this user-friendly bank management system makes it easy to manage bank accounts and transactions. This project is primarily concerned with CRUD. Using an external database connection file, user information is permanently stored in this little project.

If Python is not installed on your computer, the project will not execute. This simple Console-based application was designed with inexperienced users in mind. The source code for the Bank Management System in Python project is freely available. Use only to advance your education! View the image slider below to determine how the project is shown.

• New account creation
• Deposition and withdrawal of amount
• Balance Enquiry
• View option to the List of Account holder
• Account closure
• Account modification

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Data Science Projects in Banking and Finance

The Banking and Finance sector is a dynamic area of business where Data Science Projects are extensively used in making strategic decisions, minimizing risks, and improving customer service. Data Science Projects in Banking and Finance have become important within this vibrant ecosystem. These projects combine statistics, mathematics, and computer science in a way that changed the industry for the better. In this article, we will zoom in on innovative Data Science Projects Laying the foundation for the Banking and Finance of the future, discussing what they aim for, their methodologies, and their potential to shape the field.

By using data mining and the latest analytics tools, Data Science helps to uncover a lot of valuable insights. This makes banks and financial institutes work smarter, earn money and stay ahead of competitors. Basially data science plays a crucial role in dealing with the baking and finance sector’s complex challenges guiding it towards innovative and successful solutions.

List of Data Science Projects in Banking and Finance

1. Credit Card Fraud Detection

2. dogecoin price prediction with machine learning, 3. zillow home value (zestimate) prediction in ml, 4. bitcoin price prediction using machine learning in python, 5. online payment fraud detection using machine learning in python, 6. stock price prediction using machine learning in python, 7. stock price prediction project using tensorflow, 8. microsoft stock price prediction with machine learning, 9. predicting stock price direction using support vector machines, introduction to data science projects in banking and finance.

Data Science has revolutionized the banking and finance sector by providing insights, predictive analytics, risk management, and personalized customer experiences. It contains advance algorithms, machine learning techniques, and big data, Data Scientist in the banking and finance industry work on a variety of projects to enhance processes and drive innovation. Here an introduction to some common data science projects in banking and Finance.

Credit Card Fraud poses a widespread risk to banks, merchants, and consumers, jeopardizing funds. This projects mainly consist of preprocessing and feature engineering on very large sets of past credit card transaction records: transaction amount, merchant category, store location, and timestamp. Sophisticated algorithms are implemented to manage one of the main challenges: class imbalance, where fraudulent transactions are very few as compared to legitimate ones. Modelling is next done using regression algorithms , logistic regression , decision trees , random forests , gradient-boosting machines , and deep neural networks.

These models are trained to identify and isolate deviations in normal conduct (spending patterns, client locations of transactions, and transactions differing from typical client behaviour) that may be an element of fraud. As soon as the fraud detection models are deployed, they continuously monitor incoming transactions, assign risk scores, and flag suspicious cases for further investigation. An approach of this kind helps banks and financial institutions identify and decline suspicious transfers or temporarily limit compromised cards, thereby reducing financial losses to customers.

Here is a project for your reference : Credit Card Fraud Detection

Dogecoin, a cryptocurrency with an original intent to be a satirical meme-inspired project, has gained considerable attention and value in recent years, thereby becoming appealing to the prediction of price using machine learning approaches. This projects typically include the extraction and preprocessing of historical Dogecoin prices and trading volumes, as well as other features relevant to the trading process such as market sentiment from social media, news articles, and online forums. From this, time-series analysis techniques enable the pinpointing of patterns, trends, and seasonality in the data sets.

The various machine learning models, like recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and convolutional neural networks (CNNs), are trained on the data to learn the intricate interrelationships as well as dynamics that drive Dogecoin price fluctuations. These models provide complex patterns with precise details, such as social media sentiment volatility, market events, and stock investors’ investment behaviour. After the training is done, these models can provide forecasts for the Dogecoin price in the future, thereby empowering the investors in their decision-making about whether to buy, sell, or hold their positions. Moreover, such activities could be enhanced by using sentiment analysis tools for market sentiment measurement from online sources, hence improving price prediction precision.

Here is a project for your reference: Dogecoin Price Prediction with Machine Learning

Zillow, one of the most well-known online estate agencies, introduced a proprietary machine learning-based AVM model called Zestimate that predicts the market value of a home using some attributes. The main objective of data science projects dedicated to predicting Zillow home values is to create machine learning models like the Zestimate algorithm that can accurately predict the value of the property.

These projects normally have a procedure of data preprocessing and feature engineering on huge datasets gathered from residential properties, either using their location, size, number of bedrooms and bathrooms, year of construction, latest renovation details, or neighbourhood characteristics. More advanced regression techniques like random forests , gradient boosting machines, and neural networks are employed to train models that can learn the complex relationships between these features and the actual sale prices of properties.

Here is a project for your reference: Zillow Home Value (Zestimate) Prediction in ML

Bitcoin has known violent price swings ever since it became a mainstream global cryptocurrency. This volatility is what has made it such an attractive prospect for many traders, investors, and data scientists, and hence there have been numerous projects that seek to predict changes in the value of bitcoins based on machine learning techniques implemented through Python . For instance, typical tasks for these projects include collecting and preprocessing large sets of historical BTC price data, transaction volumes, sentiment from social networks, news articles, online forums, etc.

Afterwards, this dataset is used to train machine-learning models (like RNNs , LSTM s, and CNNs ), which should learn the underlying complex connections and dynamics behind Bitcoin’s price movements. These models are capable of capturing intricate patterns, including investor behaviour as well as market events and regulatory changes. Once these machines have been trained, they can then be used to forecast future prices of Bitcoins, thereby guiding investors on whether to sell, hold, or buy.

Here is a project for your reference: Bitcoin Price Prediction using Machine Learning in Python

With the rapid growth of e-commerce and rising online transactions, detecting payment fraud poses a significant challenge. Python-based machine learning methods are pivotal in building effective fraud detection systems. Usually, these projects are in the area of preprocessing massive sets of historical online payment transactions, containing details. For instance, transaction amounts, payment methods, customer locations, IP addresses, and device fingerprints are among other user behaviour patterns.

Afterwards, models are trained with algorithms like logistic regression, decision trees, random forests, gradient-boosting machines, and deep neural networks. These models are trained to recognize the patterns and abnormalities that could indicate that someone is involved in a fraudulent act, which could involve any unusual spending behaviour, strange locations, or transactions that do not go along with customers’ statements.

Here is a project for your reference : Online Payment Fraud Detection using Machine Learning in Python

Accurate forecasting of stock prices is an area that has presented itself as a long-standing challenge in the financial field for investors, traders, and data-managed scientists. The stock trading field data science projects utilize machine learning models in Python to design forecasting models that predict future stock prices.

This projects are commonly concerned with gathering large historic stock price datasets, market trade volumes, financial news, as well as other crucial variables such as in-house fundamentals, macroeconomic indicators, and market sentiments. The time-series pattern analysis technology is applied to identify trends, irregularities, and seasonality in the data series. Various machine learning models are built on this data, such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, convolutional neural networks (CNNs), and ensemble methods like random forests and gradient boosting machines, to learn the complicated relationships and dynamics that cause stock prices to move. These models can detect intricate trends such as the impact of market events, investor sentiment, or company performance.

Here is a project for your reference : Stock Price Prediction using Machine Learning in Python

An open-source machine learning framework called TensorFlow, created by Google, is popularly used for different applications, including stock price prediction. TensorFlow offers highly efficient capabilities, which are derived from data science projects conducted within this domain for model building and training.

These projects handle vast datasets, including stock prices, trading volumes, financial news, and macroeconomic indicators. TensorFlow tools aid in constructing and training complex neural network architectures like RNNs, LSTMs, CNNs, and others. These trained neural networks, based on the pre-processed data, learn the intricate patterns and relationships driving stock price movements. TensorFlow provides efficient computational capabilities that can be exploited by researchers to train large and complex models on massive amounts of data. This might lead to more accurate predictions of stock prices since it includes distributed training options. After being trained, these models built using TensorFlow can then be used to forecast future stock prices, which in turn helps investors or traders make more informed decisions about buying specific stocks, selling them, or holding them as well.

Here is a project for your reference : Stock Price Prediction Project using TensorFlow

Microsoft, a technology giant and a major player in the stock market, is a source of numerous data science projects that have been aimed at predicting its stock price movements. These projects utilize machine learning methods to scrutinize historical stock data, financial indicators, firm performance measures, and market forces related to Microsoft. The models used include linear regression, decision trees, random forests, gradient-boosting machines, and neural networks, among others. These models try to capture the intricate dynamics and drivers of stock prices for Microsoft by using relevant factors like Microsoft’s financial statements, product launch details, and market share figures.

For instance, it would be possible for the models to be taught how to spot patterns in terms of Microsoft’s revenue growth, profit margins, and market share changes that are correlated with historical stock price changes. In addition to this, sentiment analysis techniques can be used to measure what people feel about Microsoft through news articles or social media, as well as analyst recommendations that can further increase the effectiveness of pricing predictions. The ability to correctly predict the level of prices of Microsoft stocks can offer very important insights needed by investors, traders, or even financial analysts while making informed decisions affecting their businesses and careers, respectively.

Here is a project for your reference : Microsoft Stock Price Prediction with Machine Learning

Support Vector Machines (SVMs) are strong machine-learning algorithms commonly used in classification and regression problems. SVMs can be utilized for predicting stock price movements in the context of stock market forecasting, which is useful for investment decision-making.

Typically, on data science projects that involve using SVM to predict the direction of stock prices, there is a lot of work done that may include pre-processing historical stock data, feature engineering, and data preparation for classification. This sometimes requires converting continuous time series into classes like “increase” or “decrease” based on some threshold or period. Data is then transformed into relevant features, which consist of technical indicators such as moving averages, oscillators, and volatility measures, as well as fundamental factors like financial ratios, company performance metrics, and macroeconomic indicators. The processed dataset is then trained with the Support Vector Machine algorithm to classify it into separate classes (such as ‘increase’ or ‘decrease’ ) based on given features. This can be achieved by obtaining an optimal separating hyperplane that maximizes the class margin, resulting in a robust classifier

Here is a project for your reference : Predicting Stock Price Direction using Support Vector Machines

10. Share Price Forecasting using Facebook Prophet

Facebook’s Core Data Science team has developed an open-source library known as Facebook Prophet that is specifically designed for time series forecasting. In terms of share price prediction, Prophet has become a very popular tool among financial data science projects. These initiatives usually involve pre-processing historical stock prices, handling missing values, and including relevant attributes like trading volumes, financial indicators, and market trends.

One of the chief benefits of using Prophet is its ability to handle complex seasonalities such as weekly, monthly, and yearly cycles, which are characteristic examples of most financial time-series data. Furthermore, Prophet is highly robust for share price prediction projects due to its built-in capabilities for missing data handling, outliers, and accounting for holidays. By incorporating domain-specific knowledge and customizing models to specific requirements through the intuitive and flexible API offered by Prophet, data scientists can take advantage of the above. For instance, they may include macroeconomic indicators or company earnings reports as external regressors to improve their accuracy further.

Here is a project for your reference : Share Price Forecasting using Facebook Prophet

Banking and finance data science projects are spearheading innovation by employing advanced methodologies and techniques that solve intricate problems and open up new prospects. If the banking sector and corporate finance embrace data-driven approaches that encourage collaborations between domain professionals and data scientists; unprecedented efficiency levels, risk mitigation frameworks, and strategic decision-making would be unlocked.

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Bank Management System Using Blockchain Technology

• Conference paper
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• Shrilalita Hegde 12 ,
• G. Aishwarya 12 ,
• Aishwarya Hugar 12 &
• V. B. Suneeta 12  

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 401))

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A blockchain is a decentralized, ordered, and immutable ledger that permits a recording of transactions over a network, wherein digital information is stored in a public shared database. Bitcoin utilizes blockchain technology to maintain the records securely. The banks are stimulated with the aid of using economic and digital transformation and financial innovations. Blockchain technology is fundamental technology with promising application in the financial area. The paper includes the architecture and different features of blockchain technology and how it functions using a consensus algorithm. An angular frontend application is built to visualize and interact with JavaScript blockchain implementation.

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Ye G, Chen L (2017) Blockchain application and outlook in the banking industry. Financ Innov 2. https://doi.org/10.1186/s40854-016-0034-9

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Pravin NP et al (2020) Blockchain technology for protecting the banking transaction without using tokens. In: Second international conference on inventive research in computing applications (ICIRCA), pp 801–807

Sneha P et al (2017) Real-time vehicle-type categorization and character extraction from the license plates. In: International conference on cognetive informtics and soft computing-2017, Dec 20th–21st 2017, Hyderabad, pp 557–565

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Hegde, S., Aishwarya, G., Hugar, A., Suneeta, V.B. (2023). Bank Management System Using Blockchain Technology. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2021). Lecture Notes in Networks and Systems, vol 401. Springer, Singapore. https://doi.org/10.1007/978-981-19-0098-3_22

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Bank Management System Project in Python [Source Code]

Do you want to work on a bank management system project in Python but don’t know where to start? Well, you don’t need to worry anymore as our project will help you. This article will help you learn about a beginner-level Python project where you create a bank management system. We have the source code, too, so you can easily use it for your project. However, we recommend that you understand the code first before you copy-paste it; otherwise, the project wouldn’t be useful. 

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Why Work on Python Projects?

There are many benefits to working on Python projects . Here are some of the most prominent reasons why you should work on Python projects:

1. Good for Testing Skills

First and foremost, working on a project helps you test your knowledge. It lets you see how much you have learned about the programming language . Many times, a person thinks that they can perform many tasks but discovers the opposite after working on a few projects. You’ll get to discover your strengths and weaknesses after working on a project, which is undoubtedly a huge advantage. 

2. Learning New Things

When you work on a new project, you learn a lot of new things. First, you get to learn about the industry-specific concepts the project covers. Moreover, you make mistakes, experiment, and try new things when working on a project, which will substantially expand your knowledge base. When you’d work on the bank management system project in Python we have discussed in this article, you’ll get to learn many new things. 

3. Understanding Application

Knowing the theory and basic concepts of a programming language are great benefits, but they aren’t sufficient. If you want to use Python professionally, you must know Python’s applications and how to use it for the same. This is where working on projects has the most advantage. Different projects require you to use different skills, ensuring that you get to understand the applications of varying Python sections and concepts. 

4. Enhance Your Portfolio

Another great advantage of working on a project is that it enhances your portfolio. Recruiters are always on the lookout for professionals who have experience in using their skills. With projects, you get to highlight the same. They are proof that you understand the relevant concepts thoroughly and can use them in your tasks. 

Our Bank Management System Project in Python

Our bank management system project in Python is a console that performs the essential functions of banking software. It lets the user create a new account, view the account’s records, make deposits and withdrawals, and edit account details. It’s quite a simple project, so even if you don’t have any experience in working on Python projects, you can quickly get started with this one. 

You’d notice that our bank management system doesn’t have any login section. We have left it out as it would have made things more complicated and it would have no longer remained a beginner-friendly project. If you’re interested, you can learn about that and add a login window to this solution yourself. 

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Code for the Bank Management System Project in Python

Here’s the code for different sections of our bank management system project in Python:

Database Table and Variables

Primary Module 

Client Registration Account

Client Withdrawal Process (When Client Makes a Withdrawal)

elif EnterLetter == “b”:<br> v = 0<br> print(” letter b is Selected by the Client”)<br> while v &lt; 1:<br> w = -1<br> name = input(“Please Insert a name : “)<br> pin = input(“Please Insert a pin : “)<br> while w &lt; len(NamesOFClients) – 1:<br> w = w + 1<br> if name == NamesOFClients[w]:<br> if pin == ClientPins[w]:<br> v = v + 1<br> print(“Your Current Balance:”, “P”, end=” “)<br> print(ClientBalances[w], end=” “)<br> print(“\n”)<br> ClientBalance = (ClientBalances[w])<br> ClientWithdrawal = eval(input(“Insert value to Withdraw : “))<br> if ClientWithdrawal &gt; ClientBalance:<br> deposition = eval(input(<br> “Please Deposit a higher Value because your Balance mentioned above is not enough : “))<br> ClientBalance = ClientBalance + deposition<br> print(“Your Current Balance:”, “P”, end=” “)<br> print(ClientBalance, end=” “)<br> ClientBalance = ClientBalance – ClientWithdrawal<br> print(“-\n”)<br> print(“—-Withdraw Successfully!—-“)<br> ClientBalances[w] = ClientBalance<br> print(“Your New Balance: “, “P”, ClientBalance, end=” “)<br> print(“\n\n”)<br> else:<br> ClientBalance = ClientBalance – ClientWithdrawal<br> print(“\n”)<br> print(“—-Withdraw Successfully!—-“)<br> ClientBalances[w] = ClientBalance<br> print(“Your New Balance: “, “P”, ClientBalance, end=” “)<br> print(“\n”)<br> if v &lt; 1:<br> print(“Your name and pin does not match!\n”)<br> break<br> mainMenu = input(” Press Enter Key to go Back to Main Menu to Conduct Another Transaction or Quit_”)

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Client Deposit Process (When Client Makes a Deposit)

Client and Balance Check

Exiting the Banking System

How To Run This Project

You will need Pycharm to run this project. After entering the code, you only need to run the project, and the module would start working. 

Working on projects is undoubtedly a fantastic experience. They teach you many things. We hope you liked our bank management system project in Python. You can tell us by dropping a comment below. On the other hand, you can share this project with anyone else who might find it useful as well. 

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I hope you will learn a lot while working on these python projects. If you are curious about learning data science to be in the front of fast-paced technological advancements, check out upGrad & IIIT-B’s Executive PG Program in Data Science  and upskill yourself for the future.

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Frequently Asked Questions (FAQs)

Working on live projects is very beneficial for a growing programming geek. There are multiple reasons why we strongly recommend you to keep working on projects: 1. Boost your confidence When you apply your theoretical learning in building something practical, your confidence goes on to the next level and gives you a feeling that you actually know something of value. 2. Clears your basics Experimenting clears all your doubts that theory can never. When you try to apply something and fail, it’s not a setback. It solves your confusion about the particular implementation and provides you with multiple other ways to implement it. 3. Polishes your programming skills The biggest benefit that working on projects provides is that it polishes your programming skills. Just watching video solutions does not help you get anywhere. You need practical implementation of your learning in order to master it.

This bank management system is beginner-friendly and is based on all the beginner’s concepts. This project performs all the significant features of banking software. You can create a new login user-id, view your credit and withdrawal records and statements, send and receive money, and edit your account information. This project is specialized for beginners so you can create this project even if you are not that comfortable with Python. You can add the login system as well as where you can provide two options- “login with email id or continue with google”. You can use the Google API for adding this functionality to your banking system.

There are several project ideas that can be built using Python. Following are some of the most popular ones: 1. Pharmacy Management System: A pharmacy management system should implement the functionalities such as an ordering system, inventory management, invoicing system, and additional functionality for prescribing medicines. 2. Hotel Management System: This project should include features such as a reservation system, room management, housekeeping management, and invoice automation. 3. Student Management System: A student management system should include functionalities such as profile management, account management, student record system, and hostel management.

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