Due to the integration of different sensor the system able to monitor the environment effectively and based on the pollutants the system will able to detect the diseases and upload the sensor data to webserver for remote monitoring and analysis.
This project presents an integrated environmental monitoring and disease detection system using the Internet of Things (IoT), aimed at real-time tracking of air quality and environmental parameters to support public health. The system utilizes an MQ135 gas sensor to detect harmful gases, a DHT11 sensor to monitor temperature and humidity, and a PMS sensor for particulate matter detection. These sensors are interfaced with an Arduino microcontroller, which processes the data and activates a buzzer alert when any sensor readings exceed predefined threshold levels, indicating potential health risks. Simultaneously, a GSM module is triggered to send an SMS alert to predefined recipients. The collected environmental data is transmitted wirelessly to the ThingSpeak cloud platform via a NodeMCU module for remote monitoring and analysis. An LCD is included to display real-time sensor values locally. This cost-effective and scalable system can be deployed in homes, schools, and urban areas to help detect disease-prone environments early and mitigate health hazards.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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