Web Based Emergency Directory

T. Shiva, R. Revathi

2023

Abstract

The Idea is to deliver an online resource that will be helping the individual in an emergency and need something for them at the time. The Web Based Emergency Directory is a web app that will be available for solving the emergency situation by asking the requirements and request from the help needed person. There are few more options available that will be useful for each individual. It’s an essential one for quick and easy access to the information for the emergency situation through internet . Every life is a valuable one, each one needs something to live .The information provided in the directory includes the address, phone number, and other relevant details of each emergency service. This paper proposes a web based emergency directory it will be using Node JS, React JS, Firebase. The modern web developing tools like React JS for user friendly UI and Firebase will be used as technologies for making the web app development. These are the well developing and more efficient in the modern web app development. Further Research will be related to development of the web app with additional features adding related to the emergency solving techniques and options for better usability of the web app and to make it work on the mobile devices.

Paper Citation

in Harvard Style

Shiva T. and Revathi R. (2023). Web Based Emergency Directory. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 646-650. DOI: 10.5220/0012614400003739

in Bibtex Style

@conference{ai4iot23,
author={T. Shiva and R. Revathi},
title={Web Based Emergency Directory},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={646-650},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012614400003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Web Based Emergency Directory
SN - 978-989-758-661-3
AU - Shiva T.
AU - Revathi R.
PY - 2023
SP - 646
EP - 650
DO - 10.5220/0012614400003739
PB - SciTePress