SabarishR08/SIH26153-AI-Network-Attack-Forecasting ? reverse-engineered prompt

Build me a Python app that watches network traffic, spots suspicious activity like port scans, brute force attempts, and SYN flood style behavior, and then predicts whether things are likely to escalate into a bigger attack.

I want a simple Flask dashboard that shows the live status, recent alerts, attack history, and a clear risk or forecast score for each incident. It should work with either real traffic or synthetic test data, and it should be able to run in a full pipeline mode or just dashboard only. Please include a way to simulate attacks, run quick validation tests, and scan the local machine for a demo.

Also make sure each incident gets some MITRE ATT and CK style context so the dashboard feels useful for security analysis. If you need to check current docs or best practices for any library, go ahead and look them up online. Keep the setup straightforward, make it easy to run from the main script, and add sensible defaults so I can get it working locally without a lot of manual setup.