Classifer Client

A JavaFX-based desktop application for document classification. This application provides a client interface for uploading and classifying documents using machine learning classifiers.

Features

• User Authentication: Secure login system with password hashing using BCrypt
• User Management: Support for multiple user types (Admin and Client)
• Document Analysis: Upload and analyze documents (PDF files) using machine learning classifiers
• Admin Panel: Administrative interface for user management
• Settings: Customizable application settings
• SQLite Database: Local database for storing user data and application state

Prerequisites

• Java Development Kit (JDK) 8 or higher with JavaFX support
• SQLite JDBC driver
• Apache PDFBox library
• BCrypt library for password hashing
• JSON library

Dependencies

The application uses the following libraries:

• sqlite-jdbc-3.23.1: SQLite database connectivity
• jbcrypt-0.3m: Password hashing
• Apache PDFBox 2.0.15: PDF file processing
  • fontbox-2.0.15.jar
  • pdfbox-2.0.15.jar
  • pdfbox-tools-2.0.15.jar
  • preflight-2.0.15.jar
  • xmpbox-2.0.15.jar
• json-20180813: JSON processing
• commons-io-2.6: Apache Commons IO utilities
• JUnit 4.12 & JUnit 5: Testing framework

Installation

1. Clone the repository:

   git clone https://github.com/AyeshW/Classifer-Client.git

2. Open the project in your IDE (IntelliJ IDEA recommended)

3. Ensure all dependencies are properly configured in your project

4. Build the project

Usage

1. Run the Main.java class located in the classifer package

2. The application will start with the login screen

3. Log in with your credentials:

   • Admin users can access the admin panel
   • Regular users can access the client interface

4. For Clients:

   • Upload documents using the file chooser
   • Select a classifier type (Generic or Confidential)
   • Analyze the documents
   • View classification results

5. For Admins:

   • Manage user accounts
   • View user data
   • Configure application settings

Project Structure

Classifer-Client/
├── src/
│   ├── admin/           # Admin panel interface and user management
│   ├── analyzer/        # Document analysis logic
│   ├── classifer/       # Main application entry point
│   ├── client/          # Client interface for document upload and analysis
│   ├── dbUtil/          # Database connection utilities
│   ├── fileHandler/     # File reading and opening functionality
│   ├── logginApp/       # Login interface and authentication
│   ├── setting/         # Application settings
│   ├── signUp/          # User registration
│   └── Tests/           # Unit tests
├── Classifer.sqlite     # SQLite database file
└── ClassiferFx.iml      # IntelliJ IDEA module file

Technologies Used

• JavaFX: UI framework for building the desktop application
• SQLite: Lightweight database for local data storage
• Apache PDFBox: PDF processing and text extraction
• BCrypt: Secure password hashing
• JSON: Data exchange format for communication with classifiers
• JUnit: Unit testing framework

Development

To run the tests:

# Run unit tests using your IDE's test runner
# Test classes are located in src/Tests/

License

This project is part of an academic or personal project. Please check with the repository owner for licensing information.

Contributors

• AyeshW (Repository Owner)

Notes

• The application connects to a classifier service via HTTP to perform document classification
• PDF files are processed and their text content is extracted for analysis
• User passwords are securely hashed using BCrypt before storage