UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404943


Registration ID:
536751

Page Number

j328-j335

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Title

Integrating IoT-Based Water Quality Monitoring with Data Science and Web Technologies: A Comprehensive Approach

Abstract

Water is an essential resource in everyone’s life, fresh water is limited and is used in a very huge quantity. Fresh and clean water is very necessary in human life, Water testing is time-consuming and expensive so we bring an idea in which we can provide water testing in real-time. This paper contains information on water testing with the help of a hardware device containing an Arduino UNO microcontroller, the LCD user interface, the liquid flow sensor, the pH sensor, the water level sensor, etc. The paper also shares about collecting water quality from the IOT device and redirecting the data to the website to generate an automated visualization report to get insights and patterns about the water data, the website also includes a feature to predict whether the water is clean to drink or not, the website also provides the user to sell or request water depending upon their need and quality of water. With the help of Data Science and IOT, we want to provide a service to the common people that will help to deal with water-related problems. The Paper gives an overview of the Hardware components, Machine Learning, and Automated data visualization.

Key Words

Internet of Things, data science, Automated data visualization, water management, and real-time water quality monitoring

Cite This Article

"Integrating IoT-Based Water Quality Monitoring with Data Science and Web Technologies: A Comprehensive Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j328-j335, April-2024, Available :http://www.jetir.org/papers/JETIR2404943.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Integrating IoT-Based Water Quality Monitoring with Data Science and Web Technologies: A Comprehensive Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj328-j335, April-2024, Available at : http://www.jetir.org/papers/JETIR2404943.pdf

Publication Details

Published Paper ID: JETIR2404943
Registration ID: 536751
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: j328-j335
Country: Pune, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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