AI-Powered Fintech Security Platform
SmartPro Secure Wallet is an advanced evolution of a previous loan management system.
The new platform expands the original concept into a full AI-powered fintech wallet with fraud detection, behavioral biometrics, AI digital twin, and intelligent financial analytics.
SmartPro Secure Wallet is built upon the foundation of a prior loan management application.
The original project provided:
- Loan monitoring
- Payment tracking
- Financial overview
The upgraded version transforms it into a next-generation intelligent financial security platform by adding:
- AI-powered fraud detection
- Digital twin financial behavior modeling
- Fraud graph network analysis
- Behavioral biometrics security
- Financial insights and analytics
- Digital Wallet for managing multiple accounts and cards
- AI Fraud Detection System
- Digital Twin for financial behavior
- Fraud Graph Network Analysis
- Behavioral Biometrics Security
- Financial Analytics and Insights
- Real-time Fraud Alerts
- Total balance card
- Credit health indicator
- AI fraud risk score
- Quick actions: Transfer, Pay, Withdraw, Request
- Recent transactions
- Fraud alerts
- Manage bank accounts and cards
- View balances
- Add new cards/accounts
- Transfer funds
- Transactions analyzed in real-time
- Spending analytics
- Income vs expense charts
- Loan repayment tracking
- AI financial insights
- Risk prediction
- View active loans
- Loan balance tracking
- Monthly installment overview
- Loan payment / delay options
- Fraud alert analysis
- Personal info management
- Security settings
- Biometric login
- Two-factor authentication
- Connected devices
- Fraud alert history
This diagram shows the overall system architecture:
- Mobile Users interact with the Flutter App
- The app communicates with the Backend API Server
- Authentication, AI Fraud Engine, Digital Twin, and Fraud Graph systems handle the security and analysis
- Database stores all user, transaction, and behavioral data
- Alerts are sent to users and the admin dashboard
This diagram illustrates the transaction process:
- User initiates a transaction
- Backend receives the request
- AI analyzes transaction data and calculates a risk score
- Depending on the risk score:
- Low: Transaction approved
- Medium: Alert user
- High: Block and request verification
- Verified transactions are completed
- Fraud Detection Engine
- AI Digital Twin
- Fraud Graph Network Analysis
- Behavioral Biometrics Security
- AES-256 encryption
- JWT authentication
- Two-factor authentication (OTP, Biometric)
- Real-time fraud detection
- Behavioral verification
Tables:
Users, Transactions, Devices, FraudAlerts, FraudGraphEdges, UserBehaviorProfiles
Asayel Alghamdi
Computer Science Student — Cybersecurity & Data Analysis