Water Quality Analysis Using Machine Learning

Advanced Water Monitoring through Machine Learning for Accurate Quality Assessment!

Water Quality Analysis using Machine Learning becomes the data approach to assess the water safety. This system uses data from many sensors to read real-time changes in water conditions for example temperature, dissolved oxygen, pH among other factors. Using ML algorithms, the model identifies threats, including contamination or environmental changes, and then raises the alarm when events are not yet critical but can be addressed urgently.

Intended for environmental agencies, industries, high-risk manufacturing industries and municipal water supplying organizations, the system maintains water quality compliance constantly. It can easily process big data, and it can discover patterns by making long-term calculations while learning new patterns in real-time. The technology also provides risk factors information hence enabling decision-makers to effectively prepare for possible incidences that may arise. In so doing, the findings outlined in this paper can assist water management teams to protect ecosystems, enhance public health, and develop sustainable water management initiatives.