• git clone https://github.com/AnonCatalyst/Odinova && cd Odinova
  • pip install -r requirements.txt --break-system-packages
  • python3 odinova.py

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Odinova Digital Tiger: Overview

Odinova Digital Tiger is an advanced application designed for Open-Source Intelligence (OSINT), equipped with versatile tools and a user-friendly interface to streamline investigative workflows and enhance data analysis capabilities.

Documenter: Document Management

Purpose: Manages and documents investigative findings through documentation files.

  • Features:
    • Tabbed Interface: Allows users to manage multiple doc files simultaneously using QTabWidget.
    • Markdown Rendering: Converts Markdown content into HTML for clear and structured presentation using QTextBrowser.
    • File Operations: Supports operations such as saving all documents, importing Markdown files, and opening existing files.
    • Dark Theme Integration: Implements a dark theme interface for enhanced readability and reduced eye strain during prolonged use.

ResourcesWindow: Markdown File Viewer

Purpose: Provides a centralized view of Markdown files stored within the application.

  • Features:
    • Tabbed Navigation: Presents Markdown files in a tabbed interface using QTabWidget for organized access.
    • HTML Rendering: Converts Markdown content to HTML for display using QTextBrowser within a scrollable area.
    • Import Functionality: Allows users to import additional Markdown files from external sources using QFileDialog.
    • Dark Theme Support: Applies a dark theme to the interface for improved user experience and readability.

Application Benefits For OSINT

Odinova Digital Tiger enhances OSINT operations by:

  • Centralized Tools: Integrates diverse tools for email reconnaissance, social media analysis, web searches, and deep web exploration into a unified platform.
  • Efficient Data Management: Facilitates the organization, storage, and retrieval of investigative findings through structured interfaces and file management functionalities.
  • Enhanced Collaboration: Promotes collaboration among investigators by providing shared resources and real-time updates on search progress and results.
  • Comprehensive Documentation: Supports thorough documentation of intelligence findings through documentation files, ensuring clarity, accessibility, and preservation of investigative insights.

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