This system utilizes a Raspberry Pi equipped with a water sensor to detect leaks, collect data, and send email notifications.

1. Download the Files:

   • Download the contents of the Raspi folder onto your Raspberry Pi.

2. Install Dependencies:

   pip install mysql-connector-python RPi.GPIO requests
   

3. Configure Environmental Variables:

   • Open the run_script.sh file and replace placeholder values with your actual MySQL database credentials:

     export DB_HOST='insert host name'
     export DB_DATABASE='insert database name'
     export DB_USER='insert database username'
     export DB_PASS='insert database password'

4. API and Email Setup:

   • In the same run_script.sh file, insert your weather API key and email notification details:

     export WEATHER_API_KEY='insert weather api key'
     export EMAIL_PASS='insert email password'

   • Update the sender and receiver email addresses in the raspi_main.py file:

     sender_email = "INSERT EMAIL #1"
     receiver_email = "INSERT EMAIL #2"

5. Modify File Paths:

   • Update file paths in the scripts as necessary for your setup.

6. Cron Job Setup:

   • Set up a cron job to run the script hourly:

     0 * * * * /home/yourusername/run_final_script.sh

1. Download the Files:

   • Download the contents of the MainPC folder onto the PC where you want to run the Streamlit application.

2. Install Dependencies:

   pip install streamlit pandas sqlalchemy pymysql
   

3. Configure Environmental Variables:

   • Ensure your MySQL database credentials are set as environmental variables (DB_USER, DB_PASS, DB_HOST, DB_NAME).

4. Running the Application:

   • To view the collected data, run the Streamlit application:

     streamlit run main.py

• Ensure a MySQL database is running and accessible to both the Raspberry Pi and your main PC.

If you encounter issues with the system setup or operation, ensure that:

• All file paths are correctly set in your scripts.
• The MySQL database is running and the credentials provided are correct.
• Cron job is set correctly and has the right permissions to execute.
• Python dependencies are installed without conflicts.