This project is part of Week 11 And The Final Project of the Microsoft-affiliated Data Science Internship. Cyber Intel AI is an advanced AI-powered cybersecurity intelligence platform
This project combines:
- Retrieval Augmented Generation (RAG)
- Multi Agent AI Systems
- Vector Databases
- Live Threat Intelligence
The platform allows users to ask cybersecurity related questions and receive intelligent, structured, research based responses generated through multiple AI agents and real time intelligence retrieval.
- Build a fully functional Agentic RAG system
- Create a cybersecurity focused AI intelligence platform
- Integrate live web intelligence with local knowledge retrieval
- Implement multi-agent collaboration using CrewAI
- Develop a modern interactive cybersecurity dashboard
- Simulate real world AI cybersecurity analyst workflows
RAG combines:
- Information Retrieval
- Large Language Models (LLMs)
The system retrieves relevant cybersecurity information from PDFs and external intelligence sources before generating responses.
The platform uses multiple AI agents working together:
Finds and analyzes cybersecurity information.
Performs threat assessment and contextual reasoning.
Generates structured intelligence reports.
Improves clarity, quality, and accuracy of responses.
The system converts text into embeddings and stores them inside a FAISS vector database for semantic search and fast retrieval.
The platform integrates live web search using Tavily API to retrieve:
- Latest cyber threats
- AI attack trends
- Malware intelligence
- Cloud security news
- Threat actor activity
- Python 🐍
- Flask
- CrewAI
- LangChain
- Groq LLM
- RetrievalQA
- HuggingFace Embeddings
- FAISS Vector Database
- Tavily Search API
- Streamlit
- Custom CSS Animations
- Interactive Hacker-Themed UI
- Real-Time Chat Experience
- Sentence Transformers
- Semantic Search
- Text Embeddings
- Natural Language Processing
Multiple AI agents collaborate together.
Semantic search over cybersecurity knowledge base.
Real-time cybersecurity information retrieval.
Stores and displays previous conversations.
Typewriter-style AI response generation.
Real-time intelligence visualization.
- Glassmorphism cards
- Cyber grid background
- Real-time animated interface
- Dynamic system status indicators
- Interactive chat experience
- Modern cybersecurity aesthetics
- Building real-world Agentic AI systems
- Designing Retrieval-Augmented Generation pipelines
- Multi-agent orchestration with CrewAI
- Semantic search and embeddings
- Vector databases with FAISS
- Live AI-powered cybersecurity intelligence
- Full-stack AI application development
- UI/UX design for AI systems
- API integration and optimization
- Solving production-level AI engineering challenges
Mohammed Zuoriki
Cybersecurity Student | Aspiring Cloud Security Engineer | Self-Driven Technologist
LinkedIn: https://www.linkedin.com/in/mohammed-zuoriki-856133250/
Contributions, feedback, and ideas are welcome. Feel free to fork the repository or open an issue.