• priyanka rajesh patil
• Shafin khan
• Rohini raghunath sontakke
• Riya rotade
• Saurabh chitale

Water first class is vital for environmental health, affecting ecosystems, human health and enterprise. because traditional water first-class tracking is time-consuming and expensive, new technology want to be investigated. this newsletter presents an effective technique for water excellent prediction the usage of system studying algorithms. The proposed model combines various parameters inclusive of pH, dissolved oxygen, turbidity, temperature and nutrient awareness to are expecting water nice. Water quality records accumulated from diverse assets is used to teach and analyze device mastering fashions. selecting appropriate features and the usage of superior techniques, together with choice trees, random forests, aid vector machines, and neural networks, facilitates improve the accuracy and overall performance of predictive fashions. studies continues to explore the combination of faraway sensing and net of factors (IoT) devices to improve real-time tracking and statistics series. The addition of this technology makes the water meter greater efficient and effective. The overall performance of the version is evaluated the usage of various measures along with accuracy, precision and repeatability to make sure that it's far reliable in one of a kind waters and environment.

"Water quality prediction using machine learing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.d126-d132, April-2024, Available :http://www.jetir.org/papers/JETIR2404320.pdf

"Water quality prediction using machine learing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppd126-d132, April-2024, Available at : http://www.jetir.org/papers/JETIR2404320.pdf