VigilantBytes AI - Real-Time Fraud Detection System

VigilantBytes AI is a comprehensive real-time fraud detection system that uses machine learning algorithms to identify potentially fraudulent transactions as they occur.

Features

• Real-time Transaction Processing: Process transactions instantly with sub-second response times
• Machine Learning Detection: Multiple ML models including Isolation Forest and Neural Networks
• Interactive Dashboard: Real-time monitoring dashboard with live alerts
• API-First Design: RESTful API for easy integration with existing systems
• Scalable Architecture: Built with FastAPI, Redis, and containerized deployment
• Historical Analysis: Store and analyze transaction patterns over time

Architecture

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   Frontend      │    │   Backend API    │    │   ML Engine     │
│   (React)       │◄──►│   (FastAPI)      │◄──►│   (Scikit/TF)   │
└─────────────────┘    └──────────────────┘    └─────────────────┘
                                │
                                ▼
                       ┌──────────────────┐    ┌─────────────────┐
                       │   Database       │    │   Redis Cache   │
                       │   (SQLite/PG)    │    │   (Real-time)   │
                       └──────────────────┘    └─────────────────┘

Quick Start

Using Docker (Recommended)

docker-compose up -d

Manual Setup

# Backend
cd backend
pip install -r requirements.txt
python -m uvicorn main:app --reload

# Frontend
cd frontend
npm install
npm start

API Endpoints

• POST /api/transactions/check - Submit transaction for fraud detection
• GET /api/transactions/history - Get transaction history
• GET /api/analytics/stats - Get fraud detection statistics
• WebSocket /ws/alerts - Real-time fraud alerts

Technology Stack

• Backend: FastAPI, Python 3.9+
• ML: Scikit-learn, TensorFlow, Pandas, NumPy
• Database: SQLite (dev), PostgreSQL (prod)
• Cache: Redis
• Frontend: React, TypeScript, Chart.js
• Deployment: Docker, Docker Compose

License

MIT License - see LICENSE file for details