AI-Driven Cyber Guardian

Gemini 1.5 is a Flash-based stealth security assistant that reads intentions, not words.

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Inspiration

The Intent-Based Cyber Guardian 🚀 Inspiration The internet is a vast place, but it’s not always safe. Traditional filters rely on "static lists" of bad words. If a word isn't on the list, the filter fails. I wanted to build something smarter. I was inspired by the idea of a digital butler—like Jarvis—that doesn't just look at words, but understands intent. I wanted to create a guardian for my own system that could think like a human but act with the speed of an AI.

🧠 How I Built It I used Python as the backbone of the project. The "eyes" of Jarvis are powered by the pygetwindow library, which monitors active window titles in real-time. The "brain," however, is the Gemini 1.5 Flash API.

Every time a window title changes, the text is sent to Gemini with a specific system prompt.

The AI analyzes the semantics and context of the title rather than just searching for keywords.

If the AI returns a DANGER verdict, the system executes a lockdown protocol using Windows system calls.

đź›  Challenges I Faced The biggest challenge was the "Escape Artist" problem. Initially, the program could be closed simply by clicking the "X" button on the console. To solve this, I implemented a Ghost Process logic using ctypes to hide the console window entirely, making the protector invisible and un-closable by standard means. Another challenge was "False Positives." I had to refine my Prompt Engineering to ensure that educational content stays accessible while actual inappropriate content is blocked instantly.

đź“– What I Learned During this Hackathon, I learned:

Prompt Engineering: How to force an LLM to give binary (DANGER/SAFE) outputs with 100% reliability.

Windows API Integration: Managing system-level tasks like locking the workstation and killing specific browser processes.

Real-time AI Processing: Balancing the frequency of API calls with system performance to ensure zero lag.

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for AI-Driven Cyber Guardian

Built With

  • binary-decision-making-with-maximum-accuracy.-os-&-sys-modules:-utilized-for-system-level-execution
  • enabling-the-"ghost-process"-mode-which-hides-the-console-and-prevents-manual-closure-via-the-"x"-button.-prompt-engineering:-custom-designed-system-instructions-that-calibrate-the-llm-for-zero-latency
  • java
  • python
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