This thesis explores the development of a comprehensive environmental tracking system. This system uses many sensors to check the quality of the air and water. An ESP32 computer runs the system and controls the sensors that measure gases, temperature, humidity, turbidity, TDS, and pH. The collected data is sent to the ThingSpeak platform, which allows tracking and analysis in real time from afar. The project used both breadboard prototyping and PCB application, which showed some of the most difficult aspects of circuit design, sensor calibration, and data transmission. In the end, the system shows how low-cost sensors and Internet of Things (IoT) technology can work together to successfully track changes in the environment and help people make quick decisions.