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It turns a CrewAI notebook prototype into a Flask web application with a dark dashboard, 7 coordinated AI agents, real-time status updates, report history, and safe fallback behavior for demo scenarios.\n\n## Features\n\n- 7-agent CrewAI workflow for threats, CVEs, network anomalies, bug classification, incident response, mitigation planning, and reporting\n- Flask + Flask-SocketIO backend with `/`, `/run`, `/health`, and `/history`\n- Exa-powered live intelligence lookups with demo fallback when APIs fail\n- Groq Llama 3.1 report generation with deterministic fallback reporting\n- Dark/light theme dashboard with charts, tables, mitigation tracker, and report export\n- In-memory history for the latest 3 analysis runs\n\n## Project Structure\n\n```text\ncybersec_crew/\n├── app.py\n├── requirements.txt\n├── .env.example\n├── agents/\n├── tasks/\n├── tools/\n├── templates/\n└── static/\n```\n\n## Setup\n\n1. Open a terminal inside `cybersec_crew`.\n2. Install dependencies:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. Create `.env` from `.env.example`.\n4. Add fresh rotated API keys:\n\n   ```env\n   GROQ_API_KEY=your_new_groq_key\n   EXA_API_KEY=your_new_exa_key\n   ```\n\n5. Start the app:\n\n   ```bash\n   python app.py\n   ```\n\n6. Open [http://127.0.0.1:5000](http://127.0.0.1:5000).\n\n## Dashboard Behavior\n\n- `Run Intelligence Analysis` starts the full multi-agent workflow.\n- If Exa or Groq is unavailable, CYPORT still produces a clearly labeled demo-mode report.\n- The agent status panel updates live through SocketIO.\n- The final report is rendered as HTML and can be copied or exported through the browser print flow.\n\n## Notes\n\n- Do not hardcode secrets inside source files.\n- Replace any previously exposed API keys before real usage.\n- The app forces CrewAI storage into a local project folder to avoid Windows permission issues that can happen with default CrewAI storage paths.\n","readmeExcerpt":"CYPORT CYPORT is a production-style M.Tech final year project for cybersecurity intelligence. It turns a CrewAI notebook prototype into a Flask web application with a dark dashboard, 7 coordinated AI agents, real-time status updates, report history, and safe fallback behavior for demo scenarios. 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