MODELLING OF WATER QUALITY USING INTELLIGENT PREDICTIVE MODEL

Water contamination has posed a serious risk to aquatic ecosystems for decades. Keeping tabs on the quality of drinking water in real time is no easy feat. The focus of this study is on combining IoT devices and machine learning to create a cost-effective system for real-time water quality monitoring. Water level, temperature, wetness, humidity, and visibility are just some of the physical and chemical factors that may be monitored with the right equipment. The data from the sensors is processed by ESP8266, the main controller. Sensor data is uploaded to a Django instance.