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  Published Paper Details:

  Paper Title

OPTIMIZATION OF WATER CONSUMPTION THROUGH ARTIFICIAL INTELLIGENCE BASED TECHNIQUES

  Authors

  Dr Ashim Jyoti Gogoi,  Dr Ritunjoy Bhuyan,  Durlav Deka

  Keywords

Internet of Things, artificial intelligence, machine learning

  Abstract


The excessive use of water while bathing has caused deep problems and contributed a lot to the water crisis all over the globe. The excessive use of water by a single person doesn't seem to be dangerous, but if a large number of persons are concerned, this would be surely a serious problem. To address the issue, the paper proposes the concept of a smart bathroom deploying the artificial intelligence based techniques, which will be smart and will not allow people to use more water than necessary while bathing. The proposed system includes a database that stores the information about the amount of water required for different people with various combinations of height and weight to bath. The smart bathroom concept consists of various sensors and an Internet of Things (IoT)-based device where a machine learning algorithm can be used to decode hidden patterns in IoT data by analyzing massive amounts of data from the database. The smart bathroom will access the data about the amount of required water for a person through the person's fingerprint. Thus, the smart bathroom retrieves the information from the existing database and will deliver the required water once the process gets started.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2309555

  Paper ID - 243941

  Page Number(s) - e580-e586

  Pubished in - Volume 11 | Issue 9 | September 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr Ashim Jyoti Gogoi,  Dr Ritunjoy Bhuyan,  Durlav Deka,   "OPTIMIZATION OF WATER CONSUMPTION THROUGH ARTIFICIAL INTELLIGENCE BASED TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.e580-e586, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309555.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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