Fortress AI - Using Droidrun Framework

For your YouTube description, you want a mix of a professional summary, the "why" behind the project, and technical details to attract both the judges and the developer community.

Here is a ready-to-use template for your Fortress AI video:

YouTube Video Title Idea
Fortress AI: Autonomous Mobile Security Auditor | Droidrun DevSprint 2026

Description Content
🛡️ About the Project Today, billions of mobile users unknowingly grant sensitive permissions to apps they barely use. Critical security settings are buried deep inside complex system menus, making manual checks difficult and time-consuming.

Fortress AI is an autonomous digital sentinel designed to transform your device into a digital stronghold. Built using the Droidrun framework, it deploys an intelligent agent that navigates your Android system just like a human expert to audit hidden permissions and identify potential privacy threats.

🚀 Key Features

Agentic Navigation: The AI autonomously searches for and enters the 'Permission Manager' to bypass menu friction.

Intelligent Filtering: To maximize efficiency, the agent focuses purely on active permissions and intelligently skips the 'Not Allowed' section.

Privacy-Utility Analysis: Uses LLM-based reasoning to classify app risks into Safe, Normal, or Risky states.

Seamless Handover: Automatically returns to the custom Flutter dashboard to deliver a structured security report.

🛠️ Tech Stack

Frontend: Flutter (Dart)

Backend & Agent: Python, Droidrun Framework, Flask

API: OpenAI / LLM-based reasoning

Communication: Ngrok for local-to-mobile tunneling

🔗 Links

GitHub Repository: https://github.com/AyushKumarGupta018/Droi...

Droidrun Framework: https://droidrun.io