Weather Forecast Application

In our "Weather Forecast Application" project, The increasing unpredictability of weather patterns necessitates reliable, real-time weather forecasting tools. This project presents a mobile weather forecast application designed to provide users with accurate and timely weather information tailored to their specific locations. Utilizing advanced APIs for weather data retrieval, the application features an intuitive user interface that presents current conditions, hourly forecasts, and extended outlooks, all presented in a visually appealing and easily navigable format. To improve forecast accuracy, the application employs machine learning algorithms that analyze historical weather data and trends, enabling it to provide more reliable predictions. The app also features a community-driven feedback system, allowing users to report local weather conditions, which helps refine and enhance the data provided. Key functionalities of the application include customizable notifications for severe weather alerts, enabling users to stay informed about critical weather events in real time.. Users can also personalize their experience by saving favorite locations, allowing for quick access to weather updates in multiple areas

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-02-26
DOI
https://doi.org/10.48175/ijarsct-23372
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Weather Forecast Application

Mr. Mohan Mali, Ms. Sejal Baviskar, Mr. Shreyash Gaikwad, Ms. Vaishnavi Garje
International Journal of Advanced Research in Science Communication and Technology
Advanced Computational Techniques and Applications
article

Weather Forecast Application

Mr. Mohan Mali, Ms. Sejal Baviskar, Mr. Shreyash Gaikwad, Ms. Vaishnavi Garje
article en

Abstract

In our "Weather Forecast Application" project, The increasing unpredictability of weather patterns necessitates reliable, real-time weather forecasting tools. This project presents a mobile weather forecast application designed to provide users with accurate and timely weather information tailored to their specific locations. Utilizing advanced APIs for weather data retrieval, the application features an intuitive user interface that presents current conditions, hourly forecasts, and extended outlooks, all presented in a visually appealing and easily navigable format. To improve forecast accuracy, the application employs machine learning algorithms that analyze historical weather data and trends, enabling it to provide more reliable predictions. The app also features a community-driven feedback system, allowing users to report local weather conditions, which helps refine and enhance the data provided. Key functionalities of the application include customizable notifications for severe weather alerts, enabling users to stay informed about critical weather events in real time.. Users can also personalize their experience by saving favorite locations, allowing for quick access to weather updates in multiple areas

International Journal of Advanced Research in Science Communication and Technology
Bharati Vidyapeeth (Deemed to be University) (IN)
Openalex Percentile: Top 99%
Advanced Computational Techniques and Applications
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