Home / Current Issue / Paper 1712520
Is It Raining? ? A Simple Rainfall Detection Web & Mobile Application Using Open Weather API
Subject area: Science,Engineering and Technology · Area of research: Machine Learning
DOI: https://doi.org/10.64388/IREV9I6-1712520
Abstract
This project focuses on developing a lightweight and user-friendly rainfall detection application titled ?Is It Raining??. The application is built using HTML, CSS, JavaScript, and a mobile interface using Flutter. It fetches real-time weather data from the OpenWeather API to determine whether it is currently raining at a user?s location. The system displays a simple YES/NO rainfall status along with additional parameters such as humidity, temperature, and rainfall percentage. The goal of the application is to make weather checking faster and more intuitive. Testing showed highly accurate results, with weather estimates aligning closely with live conditions. The project demonstrates how APIs can be used to create simple, accessible, and cross-platform weather tools.
Keywords
Rain Detection, Weather API, OpenWeather, Flutter App, Web Application, Real-Time Weather, Climate Monitoring
How to cite this paper
@article{1712520,
author = {Mohammed Junaid Baig, Mohamed Zaid Akram, Mohammed Maaz, Mohammed Ibrahim, Abdul Rehaman},
title = {Is It Raining? ? A Simple Rainfall Detection Web & Mobile Application Using Open Weather API},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {6},
pages = {62-67},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712520.pdf},
abstract = {This project focuses on developing a lightweight and user-friendly rainfall detection application titled ?Is It Raining??. The application is built using HTML, CSS, JavaScript, and a mobile interface using Flutter. It fetches real-time weather data from the OpenWeather API to determine whether it is currently raining at a user?s location. The system displays a simple YES/NO rainfall status along with additional parameters such as humidity, temperature, and rainfall percentage. The goal of the application is to make weather checking faster and more intuitive. Testing showed highly accurate results, with weather estimates aligning closely with live conditions. The project demonstrates how APIs can be used to create simple, accessible, and cross-platform weather tools.},
keywords = {Rain Detection, Weather API, OpenWeather, Flutter App, Web Application, Real-Time Weather, Climate Monitoring},
month = {December},
doi = {https://doi.org/10.64388/IREV9I6-1712520}
}