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  Published Paper Details:

  Paper Title

WEATHER WIZARDS USING MACHINE LEARNING AND RASPBERRY Pi

  Authors

  Ravikumar M,  Mouna S J,  Modak Vignesh R,  Likitha C K,  K Deepa

  Keywords

Weather Forecasting, Machine Learning, Raspberry Pi, Real-Time data, Sensors.

  Abstract


By combining cutting-edge sensors and machine learning on Raspberry Pi, the "Weather Wizards using Machine Learning and Raspberry Pi" initiative transforms weather forecasting. By implementing Random Forest algorithm we record temperature, humidity, precipitation, wind speed using four sensors namely (wind, temperature, humidity, rain) . We deliver real-time forecasts for sunny, cloudy, windy, and rainy days .This ground-breaking system represents a huge advancement in weather prediction, serving applications and businesses that depend on accurate and fast weather data

  IJCRT's Publication Details

  Unique Identification Number - IJCRTAB02160

  Paper ID - 259997

  Page Number(s) - 1060-1064

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Ravikumar M,  Mouna S J,  Modak Vignesh R,  Likitha C K,  K Deepa,   "WEATHER WIZARDS USING MACHINE LEARNING AND RASPBERRY Pi", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.1060-1064, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAB02160.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


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