Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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RESQNET- Uniting Relief, Empowering Resilience

Authors
K. Venkateswara Rao1, G. Sulochana1, *, Bh. Thrivikrama Sarma1, D. Geethika1, D. Kalyan Naik1, D. Sri Latha2
1Dept. of CSE, Vignan’s Lara Institute of Technology & Science, Vadlamudi, Guntur, Andhra Pradesh, India
2Dept. of EEE, Vasireddy Venkatadri Institute of Technology, NamburuVadlamudi, Guntur, Andhra Pradesh, India
*Corresponding author. Email: sulochanagorantla888@gmail.com
Corresponding Author
G. Sulochana
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_88How to use a DOI?
Keywords
Rescue management; Android Application; Firebase; Relief agencies; Rescue operations; Google maps API
Abstract

In times of natural or man-made disasters, effective coordination among rescue agencies is paramount to minimize casualties and alleviate suffering. To address this critical need, we introduce RESQNET, an innovative application designed to centralize information and facilitate communication among rescue agencies during emergencies. RESQNET provides a centralized database where rescue agencies can register their locations, contact details, and areas of expertise. Leveraging advanced mapping technology, the application offers an intuitive interface that displays the locations of registered agencies and allows users to filter search results based on specific criteria. Additionally, RESQNET incorporates robust communication and collaboration features, enabling agencies to send alerts, request assistance, and share resources seamlessly. Security and privacy measures are prioritized to ensure sensitive information remains protected and accessible only to authorized users. Through RESQNET, we aim to empower rescue agencies to coordinate their efforts more efficiently, ultimately enhancing the effectiveness of disaster response efforts and saving lives.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_88
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_88How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - K. Venkateswara Rao
AU  - G. Sulochana
AU  - Bh. Thrivikrama Sarma
AU  - D. Geethika
AU  - D. Kalyan Naik
AU  - D. Sri Latha
PY  - 2024
DA  - 2024/07/30
TI  - RESQNET- Uniting Relief, Empowering Resilience
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 926
EP  - 933
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_88
DO  - 10.2991/978-94-6463-471-6_88
ID  - Rao2024
ER  -