Cyber-Jarvis is an advanced command-line assistant designed for cybersecurity tasks and automation. It integrates various tools and functionalities to streamline security operations, vulnerability scanning, and more. This project began as a new idea to create a versatile assistant with capabilities tailored to cybersecurity and AI interactions.
- Text-to-Speech Integration: Provides audio feedback and responses.
- YouTube Video Playback: Searches and plays videos in your preferred browser.
- Object Detection: Detects objects in images.
- OSINT Tools: Performs open-source intelligence tasks.
- Vulnerability Scanning: Checks websites for potential vulnerabilities.
- Hash Cracking: Cracks hashes using various algorithms.
- Steganography: Performs steganographic operations for hiding data.
- AI Jailbreaking: Executes AI jailbreak scripts for enhanced interactions.
- Clone the repository:
git clone https://github.com/yourusername/cyber-jarvis.git cd cyber-jarvis Install required dependencies: bash pip install -r requirements.txt
Usage
Run the Cyber-Jarvis script:
bash
python main.py
Follow the on-screen prompts to interact with the assistant. You can:
Play a video: Type play video and provide the video name and browser type.
Detect objects: Type detect objects to process an image.
Perform OSINT: Type perform osint to use the OSINT tool.
Check for vulnerabilities: Type vulnerability or scan website and provide the website URL.
Crack hashes: Type hashcrack or crack hash.
Perform steganography: Type start stego or perform steganography.
Jailbreak AI: Type jailbreak to execute AI jailbreak scripts.
Project Notes
New Idea: This project was initiated as a new idea to explore and implement a comprehensive cy
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bersecurity assistant with dynamic AI capabilities.
Unnecessary Files: The repository may contain some unnecessary files. While they are not integral to the core functionalities, they can provide insights into dynamic AI learning and development. Feel free to review them to understand the broader context of the project's evolution.
Contributing
Contributions are welcome! Please submit issues, pull requests, or suggestions via the GitHub repository. Ensure to follow the project's code of conduct and contribution guidelines. License
This project is licensed under the MIT License. See the LICENSE file for details. Contact
For any inquiries, please contact:
Email: saurabhkokate537@gmail.com
GitHub: kokatesaurabh
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- Project Notes: Added a section to explain that the project started as a new idea and includes some files for understanding dynamic AI learning.
- Unnecessary Files: Mentioned that these files might not be essential but can be valuable for learning purposes.
Feel free to adjust the content according to your specific needs and project details.