Insurance Analytics Platform

A comprehensive web application for managing and analyzing insurance claims with integrated machine learning capabilities for fraud detection.

Features

Claims Management

• Submit and track insurance claims
• Upload supporting documents
• Real-time status updates
• Multi-step claim submission process
• Document validation and management

Analytics Dashboard

• Claims summary visualization
• Risk assessment insights
• Fraud detection analysis
• Performance metrics tracking
• Interactive charts and graphs

Admin Features

• Claims review and approval workflow
• Fraud analysis tools
• Batch processing capabilities
• User management
• Advanced filtering and sorting

Screenshots

Dashboard

Main dashboard showing claims overview and key metrics

Claim Submission

Multi-step claim submission form with dynamic fields

Claims List

Claims management interface with filtering and sorting

Fraud Analysis

ML-powered fraud detection results and risk assessment

Admin Panel

Administrative interface for claims processing

Tech Stack

• Frontend:

  • React 18
  • TypeScript
  • Material-UI (MUI)
  • Recharts for data visualization
  • React Router for navigation

• Backend:

  • Python Flask server
  • Machine Learning models
  • Scikit-learn for fraud detection

Installation

1. Clone the repository:

git clone <repository-url>
cd insurance-analytics

2. Install frontend dependencies:

npm install

3. Install ML server dependencies:

cd ml_server
pip install -r requirements.txt

Running the Application

Start both frontend and ML server:

npm run start-all

Or run them separately:

Frontend:

npm start

ML server:

cd ml_server
python app.py

The application will be available at http://localhost:3000

Development

Available Scripts

• npm start - Run frontend in development mode
• npm test - Launch test runner
• npm run build - Build for production
• npm run start-dev - Start both frontend and ML server
• npm run eject - Eject from Create React App

Project Structure

insurance-analytics/
├── src/
│   ├── components/      # Reusable UI components
│   ├── pages/          # Page components
│   ├── services/       # API and business logic
│   ├── contexts/       # React contexts
│   └── types/          # TypeScript definitions
├── ml_server/          # Python ML server
└── public/            # Static assets

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.