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Real-time context-aware security alert system using LLMs

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Real-time context-aware security alert system using LLMs

License: CC BY 4.0 DOI Python

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AutoWatcher process:
AutoWatcher flow

Why AutoWatcher:

  • Automated threat monitoring is currently not intelligent or context-aware based on custom instructions.
  • Existing threat prediction models require training data and time.
  • This project uses existing models for motion detection and human detection, and uses LLMs for real-time context-aware threat prediction.

Created by Praneeth Vadlapati (@prane-eth)

📄 Research Paper

The research paper is available at https://doi.org/10.55041/IJSREM33034

🚀 Quick Start

Open the file Experiment-AW.ipynb and find the setup instructions in the first cell. Run the code.

💻 More Projects

For more projects, open the profile: @Pro-GenAI

🪪 License

Copyright © 2024 Praneeth Vadlapati
Please refer to the LICENSE file for more information.
To request a permission to use my work, please contact me using the link below.

⚠️ Disclaimer

The code is not intended for use in production environments. This code is for educational and research purposes only. No author is responsible for any misuse or damage caused by this code. Use it at your own risk. The code is provided as is without any guarantees or warranty.

🌐 Acknowledgements

📧 Contact

For personal queries, please find my contact details here: linktr.ee/prane.eth

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