IoT Dashboard

This project is an IoT dashboard that allows visualization and analysis of data from various connected devices.

Features

• Real-time IoT data collection
• Data visualization using charts and tables
• Predictions using the Prophet model
• Intuitive and responsive user interface

Prerequisites

• Python 3.7+
• Node.js and npm (for the user interface)

Installation

1. Clone the repository:

   git clone https://github.com/mcrai-dev/iot-dashboard.git
   cd iot-dashboard
   

2. Install Python dependencies:

   pip install -r requirements.txt
   

3. Install JavaScript dependencies:

   npm install
   

4. Download the Prophet model: The Prophet model (prophet_model.pkl) is not included in this repository due to its size. Download it from [INSERT DOWNLOAD LINK HERE] and place it in the model/prophet_models/ folder.

Configuration

1. Ensure that the prophet_model.pkl file is correctly placed in the model/prophet_models/ folder.
2. Check that the .env file contains the correct environment variables (see .env.example for an example).

Usage

1. Launch the backend server:

   python app.py
   

2. In a new terminal, start the user interface:

   npm start
   

3. Open your browser and go to http://localhost:3000

Project Structure

• app.py: Main server application
• model/: Contains prediction models
  • prophet_models/: Folder for the Prophet model (to be downloaded separately)
• static/: Static files for the user interface
• templates/: HTML templates
• src/: React user interface source code

Troubleshooting

If you encounter issues when running the dashboard:

1. Verify that all dependencies are installed.
2. Make sure the Prophet model is correctly downloaded and placed.
3. Check the server and client logs for specific error messages.

Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.

License

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