🔐 SkyRecon

AI-Powered Threat Detection & IOC Analysis Dashboard

A hybrid Python + React application for live cybersecurity monitoring
Featuring AI alerts, IOC detection, real-time camera feeds, and a modern dashboard UI.
Built for security analysts and blue teams.

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🎯 Overview

SkyRecon is a comprehensive cybersecurity web application designed to detect and analyze Indicators of Compromise (IOCs) from live or stored data feeds. It combines the power of Python backend processing with a modern React frontend to deliver real-time threat intelligence.

✨ Features

Feature	Description
📹 Live Camera Integration	Real-time video feed monitoring for physical security
🔍 IOC Detection	Automated scanning for malicious indicators
📊 Analytics Dashboard	Interactive charts and statistics visualization
👥 User Management	Role-based access control system
🤖 AI Alerts	Machine learning powered threat notifications
📡 Real-time Updates	Live data streaming and instant alerts

🛠️ Tech Stack

Frontend

Backend

🚀 Quick Start

Prerequisites

• Python 3.8+
• Node.js 16+
• npm or yarn

Installation

1. Clone the repository

git clone https://github.com/Ranchiro/skyrecon.git
cd skyrecon

2. Backend Setup

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the backend
python app.py

3. Frontend Setup

cd frontend
npm install
npm run dev

4. Access the application

Backend: http://localhost:5000
Frontend: http://localhost:5173

📁 Project Structure

skyrecon/
├── backend/
│   ├── app.py              # Main Flask/FastAPI application
│   ├── models/             # Database models
│   ├── routes/             # API endpoints
│   └── services/           # Business logic
├── frontend/
│   ├── src/
│   │   ├── components/     # React components
│   │   ├── pages/          # Page components
│   │   └── services/       # API services
│   └── public/             # Static assets
├── skyrecon.db             # SQLite database
└── README.md

📸 Screenshots

Dashboard	IOC Analysis	Alerts
Coming Soon	Coming Soon	Coming Soon

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👨‍💻 Author

Ruchir Ganatra

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_{Built with ❤️ by Ranchiro}