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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23254

Weather Wise- A Weather Forecast Application Using Python and its Libraries

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM23254

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SB

Shravya Barla

MHR

Mamidala HarshaVardhan Reddy

EV

Erra Vaishnavi

LR

Labisetty Ruchitha

MA

Meghamsh Avuti

KBP

Kasula Bindu Priya

GA

G Apparao

B

Bhavani

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Abstract

The application will use the API to retrieve the weather forecast data for the specified city. The backend will be developed using Django, a high-level Python web framework. The application will allow the user to enter the name of the city for which they wish to see the weather forecast. Once the user enters the city name, the application will send a request to the API to retrieve the relevant weather data. The weather data will include information such as temperature, humidity, wind speed, and weather conditions. The retrieved weather data will then be displayed to the user in a user-friendly interface. The interface will display the weather data in a clear and organized manner, using appropriate graphical elements such as icons and charts. The Django backend will handle user authentication and session management, as well 2 as caching of weather data to minimize API calls. It will also provide a RESTful API for external access to the weather data. Overall, this project will provide an easy-to-use, visually appealing, and accurate weather forecast application for users in India.

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Cite This Article

Shravya Barla, Mamidala HarshaVardhan Reddy, Erra Vaishnavi, Labisetty Ruchitha, Meghamsh Avuti, Kasula Bindu Priya, G Apparao, Bhavani, "Weather Wise- A Weather Forecast Application Using Python and its Libraries," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23254

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Publication Date

11/5/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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