Water Pollution Prediction:Whether the Water Is Potable or Not Using Machine Learning
Machine Learning, Water Pollution
One of the most vital components for human life is water, yet safe and pure drinking water is difficult to obtain in most regions around the world. Fecal-contaminated water can lead to severe diseases like gastrointestinal infections, neurologic diseases, and even life-threatening diseases like typhoid and cholera. It is approximated by the World Health Organization (WHO) that around 2 billion people consume feces-contaminated water, leading to disease transmission and death. Establishing whether water is safe for consumption or not is therefore an imperative task for the environment and public health.
Traditional approaches to the determination of water quality involve the employment of chemical and biological tests, which, even if accurate, are typically costly, time-consuming, and require professionals. Moreover, in remote and underdeveloped areas, the infrastructure does not facilitate frequent water testing. Machine learning (ML) can bring the promise to provide cost-effective, automatic, and efficient methods to the estimation of potability in water with measurable physicochemical parameters.
"Water Pollution Prediction:Whether the Water Is Potable or Not Using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b332-b337, March-2025, Available :https://ijsdr.org/papers/IJSDR2503139.pdf
Volume 10
Issue 3,
March-2025
Pages : b332-b337
Paper Reg. ID: IJSDR_301085
Published Paper Id: IJSDR2503139
Downloads: 000176
Research Area: Science and Technology
Country: Mumbai, Maharastra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
