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

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

1Shravya Barla, 2Mamidala HarshaVardhan Reddy, 3Erra Vaishnavi, 4Labisetty Ruchitha, 5Meghamsh Avuti, 6Kasula Bindu Priya, 7G Apparao, 8Bhavani,

123456Students, 78Assistant Professsor

School of Engineering Department of AIML.

 MallaReddyUniversity, Hyderabad.

2111CS020699@mallareddyuniversity.ac.in , 2111CS020700@mallareddyuniversity.ac.in , 2111CS020701@mallareddyuniversity.ac.in , 2111CS020702@mallareddyuniversity.ac.in ,

2111CS020704@mallareddyuniversity.ac.in , 2111CS020705@mallareddyuniversity.ac.in

School of Engineering Department of AIML

MallaReddyUniversity, Hyderabad.

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.