Extract-Raspberry

📋 Description

This project implements a Web Server with FastAPI to monitor Raspberry Pi data, such as RAM and ROM usage, temperature and other system metrics. The information is accessed via HTTP request, returning a JSON with the board data.

🚀 Features

• System Temperature Monitoring – Provides real-time CPU and GPU temperature data to prevent overheating.

• Disk Usage Statistics – Displays available storage, used space, and partition details.

• Memory Utilization – Tracks RAM usage, including free, used, and cached memory.

• CPU Performance Metrics – Monitors processor load, usage percentage, and active processes.

• Uptime & System Health – Reports how long the device has been running and overall system status.

• Lightweight & Efficient – Optimized to run on Raspberry Pi with minimal resource consumption.

🛠️ Technologies Used

• Raspberry Pi 4
• FastApi

📦 Installation

Requirements

• Python 3.x
• Raspberry Pi
• Distro Linux Raspberry : Raspbian

Installation Steps

1. Clone the repository:

   git clone https://github.com/IsaacMartins12/Extract-Raspberry

2. Create virtual environment:

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

3. Install dependencies:

   python install -r requirements.txt
   

4. Run the main app:

   run server.py
   

🧑‍💻 Contribution

We welcome contributions to improve this project. Feel free to submit pull requests or report issues on the Issues page.

Contribution Steps

1. Fork the project.
2. Create a branch for your feature (git checkout -b feature/new-feature).
3. Commit your changes (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature/new-feature).
5. Create a Pull Request with a detailed description of your changes.

📜 License

This project is licensed under the MIT License.