International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

A Survey on Weather App Forecasting Using Machine Learning

Dr. Kavyashree NAssistant Professor, Department of MCA, SSIT, Tumkur, Karnataka, IndiaLakshmi T L4th Semester MCA, SSIT, Tumkur, Karnataka, India

Vol 8 No 6 (2024): Volume 8, Issue 6, June 2024 | Pages: 218-222

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 02-07-2024

doi Logo doi.org/10.47001/IRJIET/2024.806029

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Abstract

Weather forecasting is one of the most scientifically and technologically challenging problems around the world in the last century. To make an accurate prediction is indeed, one of the major challenges that meteorologists are facing all over the world. To predict the conditions of the atmosphere for a given location, Weather Forecasting is used. Weather forecasting is made by collecting numerous data predicted by very proper understanding of the collected data. Weather simply refers to the condition of air on the earth at given place and time. It is a continuous, data-intensive, multidimensional, dynamic and chaotic process. These processes make weather forecasting a formidable challenge.

Keywords

Weather application, API integration, MVC architecture, Openweathermap, Django Framework


Citation of this Article

Dr. Kavyashree N, & Lakshmi T L. (2024). A Survey on Weather App Forecasting Using Machine Learning. International Research Journal of Innovations in Engineering and Technology - IRJIET, 8(6), 218-222. Article DOI https://doi.org/10.47001/IRJIET/2024.806029

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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