AuditPal: Next-Generation Audit Analytics Platform

Overview

AuditPal is a modern web-based analytics platform designed for internal audit departments in the banking sector. The platform provides real-time transaction monitoring, risk assessment, and interactive data visualization, enabling auditors to identify and respond to potential risks efficiently.

Features

• Real-time transaction monitoring
• Automated risk scoring system
• Interactive data visualization
• Multiple chart types (Bar, Line, Area, Pie)
• Department-wise analytics
• Real-time updates with 5-second polling

Tech Stack

Frontend

• Framework: Next.js 13+ with TypeScript
• Styling: Tailwind CSS
• Components: shadcn/ui
• Charts: Recharts
• State Management: React Hooks

Backend

• Framework: Flask (Python)
• Database: PostgreSQL
• ORM: SQLAlchemy

Getting Started

Prerequisites

• Python 3.8+
• Node.js 16+
• PostgreSQL
• npm or yarn

Backend Setup

# Clone the repository
git clone https://github.com/yourusername/auditpal.git
cd auditpal/backend

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Setup environment variables
cp .env.example .env
# Edit .env with your database credentials

# Initialize database
python scripts/init_db.py

# Run the server
python run.py

Frontend Setup

# Navigate to frontend directory
cd ../frontend

# Install dependencies
npm install

# Run the development server
npm run dev

The application will be available at:

• Frontend: http://localhost:3000
• Backend API: http://localhost:5001

Project Structure

auditpal/
├── backend/
│   ├── app/
│   │   ├── models/
│   │   │   ├── audit_record.py
│   │   │   └── user.py
│   │   ├── routes/
│   │   │   └── main.py
│   │   └── services/
│   │       └── risk_analyzer.py
│   ├── scripts/
│   └── config.py
└── frontend/
    ├── src/
    │   ├── app/
    │   ├── components/
    │   │   ├── dashboard/
    │   │   └── ui/
    │   └── lib/
    └── package.json

Core Features

Risk Analysis Engine

The platform implements a sophisticated risk scoring system based on:

• Transaction amount (40% weight)
• Transaction type (30% weight)
• Department risk level (30% weight)

Real-time Analytics

• Automatic data refresh every 5 seconds
• Interactive charts and visualizations
• Department-wise performance metrics
• Risk level indicators

API Endpoints

Analytics Summary

GET /api/analytics/summary

Returns dashboard analytics including:

• Total transactions
• Risk percentages
• Department statistics

Create Transaction

POST /api/transactions

{
    "transaction_date": "2024-01-19T10:00:00Z",
    "department": "treasury",
    "transaction_type": "international",
    "amount": 5000.00
}

Security Features

• SQL injection prevention via SQLAlchemy
• Input validation and sanitization
• CORS protection
• Type checking with TypeScript

Development

Code Style

• Python: Follow PEP 8 guidelines
• TypeScript: ESLint configuration provided
• Pre-commit hooks for code formatting `