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Online Banking System with Fraud Detection

A secure Java-based online banking platform designed to handle financial transactions, account management, and real-time fraud detection using machine learning algorithms.

JavaSpring BootSpring SecurityMySQLHibernateThymeleafMachine LearningREST APIs
8 technologies
Updated 07/2023
Full-stack Application

Online Banking System with Fraud Detection

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Project Architecture

Comprehensive overview of the project architecture, features, and development process with modern design patterns

Project Features

Discover the comprehensive feature set that powers this application

Core Features

User registration and KYC verification
Account creation and balance management
Fund transfer (within and between banks)
Transaction history and downloadable statements
Role-based access for Customer, Admin, and Support Staff
Secure OTP-based authentication for transactions

Operational Features

Fraud detection using anomaly-based ML models
Real-time transaction monitoring
Automated alerts for suspicious activities
Beneficiary management and transfer limits
Credit and debit card request management

Analytics & Reporting

Fraud detection analytics and risk scoring
User transaction insights and usage trends
Revenue and transaction volume reports
ML model accuracy and detection rate dashboards

System Architecture

Explore the technical foundation and architectural decisions

Frontend Architecture

Framework

Thymeleaf (Spring MVC Templating)

State Management

Spring MVC

Charts Library

Chart.js

AI Integration

TensorFlow / Scikit-learn (for fraud detection)

UI Libraries

BootstrapDataTables

Backend Architecture

Framework

Spring Boot

Database

MySQL (JPA & Hibernate)

Authentication

Spring Security with JWT & OTP Verification

Real-time Communication

WebSocket

AI Services

Fraud Detection Engine

Machine Learning (Anomaly Detection, Logistic Regression)

Risk Analytics

Data Modeling and Predictive Analysis

Development Phases

Strategic roadmap for project implementation and delivery

1

Project Setup & Authentication

2 weeks
Initialize Spring Boot project structure
Configure MySQL database with JPA and Hibernate
Implement JWT and OTP-based authentication
Set up role-based access control for Admin and User
2

Core Banking Modules

3 weeks
Develop account and transaction management modules
Implement fund transfer and statement generation
Add beneficiary management and transfer limits
Integrate secure email and SMS notifications
3

Fraud Detection & AI Integration

3 weeks
Integrate ML model for anomaly detection
Develop fraud monitoring dashboard
Add alert system for suspicious activity
Test and refine model accuracy
4

Analytics & Reporting

2-3 weeks
Develop admin analytics dashboards using Chart.js
Integrate risk and fraud detection performance reports
Optimize query performance and caching
Conduct end-to-end and security testing

API Endpoints

RESTful API structure and endpoint organization

Authentication

Register User

POST /api/auth/register

Login

POST /api/auth/login

OTP Verification

POST /api/auth/verify-otp

Get User Profile

GET /api/auth/me

Accounts

Get All Accounts

GET /api/accounts

Get Account By ID

GET /api/accounts/:id

Create Account

POST /api/accounts

Update Account

PUT /api/accounts/:id

Delete Account

DELETE /api/accounts/:id

Transactions

Initiate Transfer

POST /api/transactions/transfer

Get Transaction History

GET /api/transactions/history

Get Transaction By ID

GET /api/transactions/:id

Fraud Detection

Get All Alerts

GET /api/fraud/alerts

Trigger Manual Analysis

POST /api/fraud/analyze

Get Fraud Report

GET /api/fraud/report/:id

Reports

User Transaction Report

GET /api/reports/user/:id

Fraud Summary Report

GET /api/reports/fraud

Revenue Report

GET /api/reports/revenue

Notifications

Send Email Notification

POST /api/notifications/email

Send SMS Notification

POST /api/notifications/sms

Testing Strategy

Comprehensive quality assurance and testing methodologies

Unit Testing

JUnit
Mockito

Integration Testing

Spring Test
TestContainers

End-to-End Testing

Selenium
Cypress

AI Testing

Model accuracy and F1 score validation
Real-time anomaly detection benchmarking

Deployment Strategy

Production deployment and infrastructure management

Frontend

Vercel / Netlify

Backend

AWS Elastic Beanstalk / Heroku

Database

MySQL RDS

CI/CD

GitHub Actions

Future Enhancements

Roadmap for upcoming features and improvements

Integration with blockchain for immutable transaction logs
AI-driven credit scoring system
Voice-based banking assistant
Multi-currency support and forex management
Mobile banking application (Android/iOS)