.

Author: Ilia Shcheglov

create_db.py

@@ -3,7 +3,7 @@
 
 import sqlite3
 
-DB_PATH = 'sensor_data.db'
+DB_PATH = '../sensor_data.db'
 
 conn = sqlite3.connect(DB_PATH)
 cursor = conn.cursor()

requirements.txt

@@ -0,0 +1,4 @@
+hidapi
+Flask
+pandas
+plotly

web_service/REAMME.md

@@ -0,0 +1,49 @@
+# Web Service for Sensor Data Visualization
+
+The web interface provides real-time data visualization and displays the current CO2, temperature, and humidity readings. Access it at [http://localhost:5000](http://localhost:5000) (or replace localhost with your Raspberry Pi's IP address if accessing from another device).
+
+## Features
+
+- **Real-time Data Visualization**: The main dashboard displays CO2 levels, temperature, and humidity over time.
+- **Current Readings**: A dedicated page shows the latest sensor readings.
+
+## Installation
+
+1. Clone the repository:
+   ```bash
+   git clone <repository-url>
+   cd <repository-directory>
+   ```
+
+2. Install the required packages:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. Set up the database:
+   Ensure that the `sensor_data.db` file is in the correct directory as specified in the application.
+
+4. Run the application:
+   ```bash
+   python web_service/app.py
+   ```
+
+5. Access the web interface:
+   Open your web browser and go to [http://localhost:5000](http://localhost:5000).
+
+## Web Pages:
+
+- **/**: Main dashboard for real-time data visualization.
+- **/current**: Shows the latest sensor readings.
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+## Contributing
+
+Contributions are welcome! Please fork the repository and submit a pull request.
+
+## Contact
+
+If you have any questions or issues, feel free to open an issue in the repository or contact me directly.