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AI-powered solution leveraging RAG to generate automated dashboards, insights, and reports from Industry 4.0 machinery data.

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# SmartFactory

 <img src="gui-panel/src/components/Sidebar/icons/logo.svg" alt="SmartFactory Logo">


 <img src="https://github.com/belgio99/smartfactory/actions/workflows/build_push_main_ghcr.yml/badge.svg" alt="Docker Build">
 <img src="https://img.shields.io/github/contributors/belgio99/smartfactory" alt="GitHub Contributors">
 <img src="https://img.shields.io/github/license/belgio99/smartfactory" alt="License">
 <img src="https://img.shields.io/github/stars/belgio99/smartfactory" alt="GitHub Stars">
 <img src="https://img.shields.io/github/issues/belgio99/smartfactory" alt="GitHub Issues">

SmartFactory is an innovative solution for automating factory operations. It leverages cutting-edge technologies such as AI, signal processing and RAG to streamline processes, provide insights, and create comprehensive dashboards from Industry 4.0 machinery data.

<img src="docs/assets/dashboard.png" alt="Dashboard Screenshot">


 SmartFactory Dashboard page

## Components

SmartFactory consists of the following components:

- **Knowledge Base**: A database that stores information about the various KPIs and machines in the factory.
- **Data Storage**: A data storage system that stores the data generated by the machines, and other relevant information.
- **Data Processing**: A data processing system that processes the data generated by the machines for analysis on trends and patterns.
- **API**: An API that provides access to the data stored in the various components of the system.
- **RAG and Generative AI**: A system that interacts with the user to provide insights and dashboards based on the data generated by the machines.
- **GUI**: A web-based GUI that allows users to interact with the system and access the insights and dashboards generated by the RAG and Generative AI system.
- **KPI Engine**: A system that calculates the KPIs based on the data generated by the machines.

Each of these components can be individually explored by reading their README in their respective directories.

## Features

- **Monitoring**: Track the status of machines and production lines.
- **Data Analytics**: Analyze production data to identify bottlenecks and optimize workflows.
- **Remote Control**: Manage factory operations remotely through a secure web interface.
- **Scalability**: Easily scale the system to accommodate growing production needs.
- **Dashboard Creation**: Generate detailed dashboards from Industry 4.0 machinery data.
- **Reports**: Generate reports on key metrics to track performance and identify areas for improvement.

## Deployment

To get started with SmartFactory, follow these steps:

1. Clone the repository:
   ```bash
   git clone https://github.com/belgio99/smartfactory.git
   ```
2. Navigate to the project directory:
   ```bash
   cd smartfactory
   ```
3. Spin up using Docker:
   ```bash
   docker compose up --profile "*" -d
   ```
4. SmartFactory GUI will be available at `http://localhost:10060`.

## Contributing

We welcome contributions from the community! To contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch:
   ```bash
   git checkout -b feature-branch
   ```
3. Make your changes and commit them:
   ```bash
   git commit -m "Add new feature"
   ```
4. Push to the branch:
   ```bash
   git push origin feature-branch
   ```
5. Create a pull request.

## License

This project is licensed under the MIT License. See the [LICENSE.md](LICENSE.md) file for details.

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