Develop an IOT device that monitors the indoor air quality and notifies the users of the air quality level It includes a interactive dashboard implemented using Node-RED.
Currently the first prototype is created with a TVOC and CO2 sensor, Temperature and Humidity sensor and a Dust sensor.
- ESP32 (Micro Controller)
- Plantower PMS7003 (Dust Sensor)
- DHT22 (Temperature and Humidity Sensor)
- SGP30 (TVOC and CO2 Sensor)
The prototype uses the ESP32 microcontroller and the above sensors to take measurements of air quality. These measurements are then sent to a server using the MQTT protocol under seperate topics. These readings are displayed on a Node-Red dashboard that subcribes to these topics and the data is shown in charts
- Develop a PCB for the embedded device and develop the GUI interface further to make it more appealing and easthetic
- Develop a machine learning model to analyze the data acquired from the sensors and predict further trends and inferences
- Develop the system to integrate multiple nodes