This project aims to develop a real-time air and water quality monitoring system using various sensors and microcontrollers. The system measures key environmental parameters such as air pollutants (CO, CO₂, PM2.5, etc.) and water contaminants (pH, turbidity, temperature, etc.), processes the data, and displays it on a dashboard. The goal is to provide actionable insights for environmental safety and public health.
Environmental pollution is a growing concern, affecting human health and ecosystems. This project presents an IoT-based system that continuously monitors air and water quality parameters. The system utilizes:
- Air quality sensors to measure pollutants like CO, CO₂, and PM2.5.
- Water quality sensors to detect changes in pH, turbidity, and temperature.
- Microcontrollers (Arduino/ESP8266) to process and transmit sensor data.
- Cloud-based dashboard (Blynk) for real-time data visualization and alerts.
This monitoring system helps individuals, industries, and government agencies track pollution levels and take preventive actions.
- Sensors collect data on air and water quality.
- Microcontroller processes the sensor readings and converts them into meaningful values.
- Data is transmitted wirelessly to a cloud-based dashboard via WiFi.
- The dashboard visualizes the data in real-time and triggers alerts if pollution exceeds safe limits.
- Users can monitor and analyze trends to take necessary actions for pollution control.
The Air and Water Quality Monitoring System is an efficient solution for real-time pollution detection. By integrating IoT technology, the system provides valuable insights that can help in environmental protection, policymaking, and public awareness. This project can be further enhanced by adding AI-based predictive analytics and automated control mechanisms.
This project is licensed under the MIT License. See the LICENSE file for details.