| Autor: |
Latha, S. Bhargavi, Likhitha, L. Sri, Swathi, N., Archana, Soni, Sravya, K. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2754 Issue 1, p1-8, 8p |
| Abstrakt: |
The human body relies upon water to survive. Water is required for the proper functioning of every cell, tissue and organ in the body. Water is required for healthy well-being. To keep our body hydrated, we should drink sufficient water. In this paper, a system is developed which will send an alert to individuals mentioning the amount of water to be consumed to keep their bodies hydrated. The surrounding environment temperature and humidity plays a major role in the maintenance of our body hydration. For this, first the data regarding the amount of water being consumed per day using a water flow sensor is collected. The temperature and humidity of the environment will be measured in addition to the amount of water drank. Then, this data is analyzed using the Machine Learning techniques and a model is developed which will predict the amount of water to be consumed as per the temperature and humidity of that day. The results will be sent as an email alert to the user. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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