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https://github.com/ismail-benali/atlas-x

Atlas-X is an advanced intelligence system designed to combat terrorism and cybercrime in Morocco. Using AI and data analysis, it detects suspicious activities, monitors threats, and generates actionable intelligence reports, enhancing the ability of security agencies to respond swiftly and effectively to emerging dangers.
https://github.com/ismail-benali/atlas-x

cybercrime-prevention cybersecurity intelligence-reports intelligence-system surveillance-systems

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Atlas-X is an advanced intelligence system designed to combat terrorism and cybercrime in Morocco. Using AI and data analysis, it detects suspicious activities, monitors threats, and generates actionable intelligence reports, enhancing the ability of security agencies to respond swiftly and effectively to emerging dangers.

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README

          

![v 1 0 1](https://github.com/user-attachments/assets/8ce0f927-2490-4f02-88f6-14c497cee65c)

## Overview
Atlas-X is a multi-language project that integrates backend services written in C++ and Go, a frontend application using HTML, and data analysis capabilities in Python. This project aims to provide a comprehensive solution for data processing and user interaction.

## Project Structure
```
atlas-x
├── src
│ ├── backend
│ │ ├── cpp
│ │ │ ├── main.cpp
│ │ │ └── CMakeLists.txt
│ │ └── go
│ │ ├── main.go
│ │ └── server.go
│ ├── frontend
│ │ └── index.html
│ └── python
│ ├── analysis.py
│ └── model.py
├── tests
│ ├── cpp
│ ├── go
│ └── python
├── config
│ └── settings.json
├── README.md
└── LICENSE
```

## Setup Instructions

### Backend
1. **C++**: Navigate to the `src/backend/cpp` directory and use CMake to build the C++ application.
```bash
mkdir build
cd build
cmake ..
make
```

2. **Go**: Navigate to the `src/backend/go` directory and run the Go application.
```bash
go run main.go
```

### Frontend
Open the `src/frontend/index.html` file in a web browser to view the user interface.

### Python
Run the Python scripts located in the `src/python` directory for data analysis and AI model training.

## Testing
Unit tests for each component can be found in the `tests` directory. Use the appropriate testing framework for each language to run the tests.

## License
This project is licensed under the MIT License. See the LICENSE file for more details.