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new GSOC 2024 project
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2024/README.md

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@@ -97,8 +97,8 @@ The ideal candidate for this project is someone who understand how IntelOwl's fr
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<b>Description</b>:
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1. The proposed Google Summer of Code project aims to integrate a cutting-edge, self-deployed LLM-based chatbot into IntelOwl, enhancing user interaction with collected threat intelligence.
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2. Leveraging Python libraries like LangChain and ChainLit, the project envisions building an intuitive interface that empowers analysts to pose natural language queries about threat data, fostering a more user-friendly and efficient investigative process.
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3. The chatbots capabilities will extend beyond basic queries, seamlessly interfacing with IntelOwls enrichment modules when deeper investigation is required, providing a comprehensive and interactive experience for analysts.
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2. Leveraging Python libraries like LangChain and ChainLit, the project envisions building an intuitive interface that empowers analysts to pose natural language queries about threat data, fostering a more user-friendly and efficient investigative process (e.g. "In what campaigns have you seen this IOC?")
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3. The chatbot's capabilities will extend beyond basic queries, seamlessly interfacing with IntelOwl's enrichment modules when deeper investigation is required, providing a comprehensive and interactive experience for analysts.
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4. By harnessing the power of LLM technology, the chatbot will not only streamline communication between analysts and the IntelOwl platform but also adapt to evolving user needs, contributing to a more dynamic and responsive threat intelligence environment.
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5. This project aligns with the overarching goal of making threat analysis more accessible and efficient, offering analysts a powerful tool that combines the strengths of natural language understanding, self-deployment, and seamless integration with IntelOwl’s existing modules.
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5. This project aligns with the overarching goal of making threat analysis more accessible and efficient, offering analysts a powerful tool that combines the strengths of natural language understanding, self-deployment, and seamless integration with IntelOwl's
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