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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: An Artificial Intelligence based Rainfall Prediction System
Authors Name: Shweta Nilesh Thakur , Shweta Mahadev Palve , Pavitra Pandurang Patil , Divya Chirayil
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IJRTI_186466
Published Paper Id: IJRTI2305009
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: A design for a weather monitoring system is presented. One of the most challenging problems in the world is weather forecasting. The suggested system enables online reporting of weather parameters. It enables users to access weather statistics online without the aid of a weather forecasting organisation. The system tracks the weather and provides live reporting of the weather information using sensors for temperature, humidity, and rain. The system continuously checks the temperature, humidity, and rain using a rain sensor and a temperature sensor. The system continuously sends this data to the microcontroller, which interprets it and then sends it through a Wi-Fi connection to the online web server. To be viewed on the internet garçon system, this data is continuously streamlined. Also, druggies can produce cautions for specific situations, and the system will notify them if the rainfall parameters change from those situations. As a result, the IOT- grounded rainfall reporting system gives guests access to a dependable internet- grounded rainfall reporting system. The monitoring of the rainfall using drugs principles, in addition to a number of statistical and empirical styles. Also, to acquire meteorological data from credible weather service providers, the suggested system makes use of Application Programming Interfaces (APIs). These APIs provide a wide range of meteorological information for numerous areas across the world, including temperature, humidity, precipitation, wind speed, and more. The system is adaptable and expandable, allowing users to request weather information for various places and times.
Keywords: Temperature, Weather, Notification, Rain sensor
Cite Article: "An Artificial Intelligence based Rainfall Prediction System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.78 - 84, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305009.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2305009
Registration ID:186466
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 78 - 84
Country: Raighrh, Maharashtra, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305009
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305009
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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