deshan555/iot-dashboard

📊📈 Monitor your vital sensor data, including humidity, heat index, temperature, soil moisture, gas level, and hydroponic solution level, with our advanced IOT Application.

IOT Dashboard Application

🚀 Welcome to the IOT Dashboard Application!

Visualize your sensor data like never before! This advanced web application is built using HTML, CSS, JavaScript, Bootstrap, and Chart.js to deliver an exceptional user experience. Keep a close eye on vital sensor data such as humidity, heat index, temperature, soil moisture, gas level, and hydroponic solution level. Our application boasts interactive bar charts, dynamic pie charts, and insightful area charts to help you make data-driven decisions with ease.

⚠️ Before Use That Repo Please Visit that repo and read all instructions : https://github.com/Deshan555/IOT-Smart_Farming

✨ Features that Illuminate:

• Real-time Visualization: Stay updated with real-time data to monitor changes as they happen.

• Multi-chart Magic: Experience the versatility of bar charts, pie charts, and area charts for data representation.

• User-friendly Interface: The intuitively designed dashboard offers a seamless user experience.

• Responsive Across Devices: Access your dashboard on desktops, tablets, and smartphones with ease.

• Empowering Data Analytics: Utilize powerful analytics tools to gain valuable insights from your data.

📚 Getting Started - Just 3 Steps!

1. Prerequisites:

Before you embark on your data journey, ensure you have the following requirements installed:

• Web Browser (Chrome, Firefox, or Edge)
• Web Server with PHP and MySQL support
• MySQL Database

2. Easy Installation:

1. Clone the repository:

   git clone https://github.com/your-username/iot-dashboard.git
   cd iot-dashboard

2. Create a MySQL database and import the provided schema:

   # Example SQL commands to create the database and import schema
   mysql -u username -p
   CREATE DATABASE iot_dashboard;
   USE iot_dashboard;
   SOURCE path/to/schema.sql;

3. Configure the database connection in the PHP files:

   // Example: db.php
   <?php
   $host = 'your_mysql_host';
   $username = 'your_mysql_username';
   $password = 'your_mysql_password';
   $database = 'iot_dashboard';
   // ...

4. Set up your web server to point to the cloned project directory.

5. Fire up your web server, and you are ready to go!

🌟 Screenshots that Mesmerize:

Include a few captivating screenshots of the dashboard showcasing its stunning charts and visualizations.

🙌 Contributing - Let's Innovate Together!

Your creativity and ideas are invaluable! Join us in enhancing the IOT Dashboard Application. Share your thoughts, report issues, propose exciting features, or submit pull requests to the GitHub repository. Together, let's shape the future of data visualization.

📜 License - Transparency Matters:

This project is licensed under the MIT License. We believe in openness and transparency - let's build the future together!

💡 Acknowledgments - Gratitude Galore:

• Bootstrap - Frontend framework that adds elegance to our dashboard.
• Chart.js - JavaScript library responsible for the enchanting charts.
• Your Favorite IOT Sensor Provider - Thank you for providing the sensor data, making it all possible!

📞 Contact - Reach Out!

For questions, feedback, or just to say hi, drop us a line at [email protected]. We're here to ensure you have a seamless experience with our IOT Dashboard Application.

🎉 Experience the IOT Revolution - Dive in!

Monitor, analyze, and make data-driven decisions like a pro! Embrace the IOT revolution with the IOT Dashboard Application. Happy analyzing! 🌈