Mobile Computing Services to Support Flood Disaster App

T. Venkata Naga Jayudu, G. Sai Haritha, B. Varshitha, A. Shravan Kumar Reddy

and C. Sai Prasanna

Department of CSE, Srinivasa Ramanujan Institute of Technology, Rotarypuram Village, B K Samudram Mandal,

Anantapur - 515701, Andhra Pradesh, India

Keywords: Mobile Application, Flood Management, Rescue Operations, Recovery, Alerts, Donations.

Abstract: Floods are among the most severe natural disasters, requiring efficient management at three critical phases:

pre-flood, during-flood, and post-flood. This project introduces a comprehensive mobile application to

enhance disaster response, real-time communication, and aid distribution. The system facilitates seamless

coordination among administrators, users, donors, and supporters to improve flood relief efforts. Donors can

assisting with requests. Users can quickly access help by registering, submitting support requests, and tracking

their request history. Admins authenticate supporter and request profiles to ensure legitimacy and integrity

before making them available to donors. Key features include bulk flood alerts, a rescue request system, and

donation management, ensuring faster response times, improved rescue coordination, and effective post-flood

recovery. By integrating technology-driven flood management, this Android-based application provides an

efficient solution to mitigate disaster impacts and save lives.

1 INTRODUCTION

Flood disasters cause widespread devastation,

disrupting lives, infrastructure, and essential services.

Effective disaster relief requires timely coordination

and efficient resource distribution to minimize the

impact on affected communities. However,

traditional disaster relief efforts rely on manual

coordination, fragmented communication, and

inefficient resource allocation. These limitations lead

to delays in aid delivery, difficulties in verifying

requests and supporters, and a lack of real-time

updates, reducing the overall effectiveness of disaster

response efforts.

To address these challenges, this project proposes

a mobile application designed to streamline flood

disaster relief operations. The application facilitates

seamless interaction between donors, supporters,

users, and administrators, ensuring efficient

communication and coordination. Users can register,

submit aid requests, and track their request history,

providing transparency in the relief process. Donors

and supporters can view and accept verified requests,

allowing for timely and organized aid distribution.

Administrators play a crucial role in verifying

profiles and aid requests before making them visible,

ensuring authenticity and preventing fraudulent

activities. By leveraging mobile computing services,

the application provides real-time updates, optimizes

resource allocation, and enhances disaster response

efficiency. This innovative platform bridges the gap

in traditional relief efforts, enabling swift and

effective aid distribution, ultimately reducing the

impact of floods on affected communities.

2 RELATED WORKS

Some administrative and ethical questions have been

raised about the human-based disaster management

program. Rather of being useful, it might be harmful.

There is less need for human intervention with all of

these technologies thanks to the newly formed

Internet of Things organization, which is

sophisticated enough to build a network

automatically connecting each other and predicting

every function and characteristic of a flood. The goal

of this project is to mitigate the negative effects of

urban floods in urbanized areas by designing and

588

Jayudu, T. V. N., Haritha, G. S., Varshitha, B., Reddy, A. S. K. and Prasanna, C. S.

Mobile Computing Services to Support Flood Disaster App.

DOI: 10.5220/0013937400004919

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies (ICRDICCT‘25 2025) - Volume 5, pages

588-594

ISBN: 978-989-758-777-1

operating a wastewater disposal system. Himanshu

Rai Goyal, Sachin Sharma, 2023, The platform

controls wastewater deposit networks through the use

of real-time cloud computing and the internet of

things. In response to the need for storm water

drainage systems in urban areas, this application,

mathematical model, technology, and design were

developed. The floods that hit Mumbai in 2005

illustrate this concept. We can survive with this

method and avoid over 40% of injuries.

Urban flooding monitoring and management is a

worldwide problem as the frequency and severity of

extreme precipitation events are on the rise as a result

of climate change. K. Priya Menon; L. Kala , 2017

Thanks to their cheap cost, rapid data transmission,

and widespread deployment, urban surveillance

camera sensor networks are a valuable addition to

remote sensing. By collecting localised observations

that are inaccessible by satellite and aerial systems,

these networks provide real-time urban flood

monitoring with great spatial and temporal precision.

Identifying and warning of floods becomes more

challenging at night or after heavy rains, due to the

increased complexity and variety of flooded area

image features. One solution is an invariant feature

extraction method for surveillance film, while another

is a picture model for floodlit low-light

circumstances. For the purpose of training and testing

models, a new dataset called UWs is constructed,

which contains low-light surveillance flood pictures.

Clinical trials confirm the strategy's efficacy, with

mRecall=0.88, mF1_score=0.91, and mIoU= 0.85.

Improved mRecall by 4.9%, mF1_score by 3.0%, and

mIoU by 4.4% when compared to Res-UNet,

LRASPP Demonstrating its all-weather adaptability,

the technique also does well in real-world studies,

such as daytime flood monitoring Reduced

catastrophe occurrences would be a direct result of an

urban flood monitoring network that uses all-weather

surveillance cameras and emergency management in

cities, according to this study.

Carlos Castro-Correa., et al., 2014, Hundreds of

millions of people are impacted by natural disasters

annually. Data on population migrations and other

emergencies must be available quickly. Call Detail

Records (CDR) aggregated and anonymised from

mobile phone infrastructure can provide insight into

human behaviour during significant events [3]. We

investigate the possibility of using CDR data along

with other sources to describe the floods that hit

Tabasco, Mexico in 2009. An impact map of the flood

was made using Landsat-7 camera images. Here, we

compared NASA-TRMM rainfall data with CDR

communication activity signals. Flood signatures

might be derived from the numbers of active phones

linked to each cell tower in the areas most impacted

by the floods, both during and after the event. These

patterns could be utilised for assessing the damage on

infrastructure and raising awareness among the

people. Using data from the census and civil

protection, we checked if the analysis was

representative. Preliminary findings suggest that data

on cell tower activity could improve catastrophe

preparedness and early warning systems, but more

extensive proof is required.

Annual floods wreak havoc on communities,

annihilating crops, homes, and buildings. Flooding

can be influenced by both hydrological and

meteorological factors. The fields of flood

catastrophe management and food prediction have

both seen a great deal of research. Smart flood

prediction systems that involve stakeholders and

floods affecting everyone equally should replace

individual monitoring and prediction frameworks,

especially in light of recent technological

improvements. Swapnil Bande; Virendra V. Shete.,

2017 Through the use of wireless communication

networks and embedded system hardware, the IoT

allows for the real-time transfer of sensed data to

computing devices. Mathematical or hydrological

models have been supplanted by algorithmic flood

prediction research. A flood's data is dynamic and

non-linear. One use of artificial neural networks is in

the development of flood prediction systems.

Improve the scalability and durability of flood control

systems. Rainfall, humidity, temperature, pressure,

and river levels are all tracked by this system so that

flood predictions may be made based on temporal

connections. For sensor data collection and Wi-Fi

connectivity, we employ the IoT, and for flood

prediction data processing, we use artificial neural

networks (ANN).

Qing Yang; Qiang Zhang, 2007 Emergency

management for flood disasters should incorporate

pre-, mid-, and post-phases, not only for flood

emergency response. Providing a methodical

framework for emergency management and outlining

the goal of each application subsystem, this study

investigates the necessity and practicability of a

decision support system (DSS) for flood disaster

emergency management.

T. Sravani., et al., 2022, During disasters, getting

help quickly can save lives. A mobile app has been

designed to provide emergency survival services,

collecting real-time data from users and their

surroundings to assist in rescue operations. It uses

service agents to track locations, suggest escape

routes, and connect people with rescuers. By

Mobile Computing Services to Support Flood Disaster App

589

integrating cloud computing and mobile technology,

the system links with public and government services

for better coordination. To speed up response times, a

smart scheduling algorithm prioritizes urgent

requests. It has been tested in real-life situations, like

the 2013 Ya’an earthquake in China, where it

successfully handled thousands of rescue requests.

The results show that this system improves disaster

response, enhances teamwork, and helps save more

lives.

Disasters, both natural and man-made, pose

significant risks to life and property, making effective

disaster management crucial. This study highlights

the various disasters affecting Andhra Pradesh,

including cyclones, floods, droughts, earthquakes,

tsunamis, and fires, along with statistical data on their

impact. The research emphasizes the importance of

pre-disaster planning, such as mitigation and

preparedness, to minimize the severity of post-

disaster response efforts like rescue and

rehabilitation. L.Tejaswi and R. P. Kumar, 2011

Despite its central location in India, Andhra Pradesh

frequently experiences disasters due to its

geographical and climatic conditions. The paper

suggests efficient risk mitigation strategies, including

early warning systems, improved infrastructure, and

better coordination between government agencies.

The findings stress the need for public awareness and

education on disaster preparedness to reduce

casualties and economic losses.

Anam Ubaid, 2017 Service-oriented disaster

response system that operates in both online and

offline modes using mobile and cloud computing for

real-time data collection and rescue coordination. It

features automated service agents, an emergency

distress mode, and a bio-inspired scheduling

algorithm to prioritize critical requests. Tested in real-

world disasters like the 2013 Ya’an Earthquake, it

enhances rescue efficiency, reduces delays, and

improves coordination. Future upgrades aim to

integrate IoT technology for better real-time

monitoring and response.

V. Astarita, et al., 2020, Mobile computing

enhances disaster management by enabling real-time

data collection, coordination, and communication

through wireless networks, smartphones, and cloud

computing [9]. A cooperative crowdsourced system

gathers critical information on infrastructure,

movement, and urgent needs, processed by a central

decision support system for efficient response.

Integrating GIS, IoT, and ITS improves disaster

resilience and emergency operations.

R. Koul., et al., 2015 social media enhances

disaster management by enabling real-time

communication, rescue coordination, and information

sharing. During the Jammu and Kashmir floods,

platforms like Facebook and WhatsApp helped locate

missing persons, guide rescuers, and organize relief

efforts using hashtags and open groups. Structured

data management improved efficiency, making

rescue operations faster and more effective.

3 METHODOLOGY

Proposed System: The proposed system is a mobile

application designed to enhance flood disaster relief

efforts by improving coordination, transparency, and

efficiency in aid distribution. The application features

role-specific functionalities for donors, supporters,

users, and administrators. Users can register, log in,

submit aid requests, and track their request history,

ensuring a structured and transparent relief process.

Donors and supporters can view and accept verified

requests, enabling timely assistance to affected

individuals. This system streamlines communication,

eliminates manual inefficiencies, and ensures real-

time updates for all stakeholders.

Administrators play a critical role in verifying

supporter profiles and aid requests before they become

visible to donors, ensuring the authenticity of all

interactions. By leveraging mobile computing

services, the application optimizes resource allocation

and minimizes delays in providing aid. With real-time

tracking and efficient management of disaster relief

efforts, this system enhances the overall effectiveness

of flood response operations, ensuring that help

reaches those in need swiftly and efficiently.

System Architecture: The system architecture of the

proposed flood disaster relief mobile application

consists of multiple interconnected components to

ensure efficient coordination and management of aid

distribution. The architecture includes four main user

roles: Donor, Supporter, User, and Admin. Each role

interacts with key system modules such as Request

Management, Safety System, Authentication, and

Verification. Donors and Supporters can

towards assistance. Users can register, add aid

requests, and view safety information, while Admins

are responsible for verifying supporter profiles and

aid requests before they become visible.

The Request Management module handles the

creation, tracking, and acceptance of aid requests,

storing relevant data in a centralized Database. The

Safety System fetches and provides real-time safety

information for users in flood-affected areas.

Authentication ensures secure access control for all

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roles, while the Verification module allows Admins

to authenticate supporters and aid requests. This well-

structured architecture ensures seamless data flow,

real-time updates, and effective coordination,

ultimately enhancing disaster response efficiency and

ensuring that aid reaches affected individuals in a

timely manner.

3.1 Modules

3.1.1 User Module

• sers can create an account by providing their

necessary details, such as name, contact

information, and a secure password.

• Once registered, users can log in to their

accounts using their credentials.

• Secure authentication mechanisms ensure data

privacy and protection. Registered users can

submit requests for aid, specifying their needs

such as food, shelter, medical assistance, or

other forms of support.

• The system allows users to track the status of

their aid requests, providing updates on

progress, approvals, and expected delivery

times.

• Users can access a history of their past aid

requests, enabling them to monitor their

received assistance over time the system offers

real-time safety updates related to flood-

affected areas, including evacuation notices,

emergency shelters, and road conditions.

• Users can view essential guidelines on flood

preparedness, including first aid tips and

emergency contact numbers.

3.1.2 Donor Module

• Donors can create an account by providing

their details, such as name, organization (if

applicable), contact information, and a secure

password.

• Once registered, donors can log in to access

the platform and manage their contributions.

• Secure authentication ensures that donor

information remains protected. Donors can

browse a list of aid requests submitted by users

affected by floods.

• Each request provides details about the type of

assistance needed, such as food, water,

clothing, medical supplies, or temporary

shelter.

• Donors can accept specific aid requests based

on their ability to aid. Donors can contribute

resources in various forms, including financial

donations, essential goods, and logistical

support.

• The platform may provide options for direct

donations, coordinating drop-off locations, or

collaborating with local relief organizations.

• Donors receive updates on their contributions,

ensuring transparency and tracking of their

impact.

3.1.3 Supporter Module

• Supporters can create an account by providing

their details, such as name, contact

information, and a secure password.

• Once registered, supporters can log in to

access the platform and engage in relief

activities.

• Secure authentication measures ensure data

privacy and authorized access Supporters can

browse a list of aid requests submitted by users

affected by floods.

• Requests may include needs such as medical

assistance, food distribution, transportation, or

temporary shelter arrangements.

• Supporters can accept requests based on their

availability and capacity to provide help.

• Once a request is accepted, the system updates

the status and notifies the requesting user to

coordinate assistance Supporters play a crucial

role in ensuring that relief resources are

distributed efficiently to those in need.

• They may assist in coordinating logistics,

verifying user needs, and delivering aid in

collaboration with donors and relief

organizations.

3.1.4 Admin Module

• The Admin reviews and verifies supporter

registrations to ensure only genuine

individuals or organizations participate in

relief efforts.

• Supporters may be required to provide

identification or relevant credentials for

validation. The Admin ensures that only

verified users, supporters, and donors can

interact within the system.

• They monitor aid request approvals, ensuring

fair distribution and preventing misuse.

• Any suspicious activity, such as false requests

or unauthorized support claims, is flagged and

investigated. The Admin supervises the

Mobile Computing Services to Support Flood Disaster App

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overall functioning of the platform,

maintaining a smooth workflow.

• They enforce data security measures,

protecting user information and ensuring

compliance with privacy policies.

• Regular system audits and reports are

conducted to enhance transparency in aid

distribution and resource management.

4 RESULTS AND ANALYSIS

The experimental results provide a comprehensive

evaluation of various aspects of the system, including

user authentication, data security, system

performance, and overall functionality. The user

registration and authentication process ensure secure

credential management, effectively preventing

unauthorized access through robust validation

mechanisms. System performance and efficiency

were analyzed, revealing optimal response times

under normal conditions, though improvements may

be required under high-load scenarios to mitigate

latency.

Figure 1: Emergency and Safety Suggestions Page.

The above figure 1 represents quick access to

emergency assistance and safety suggestions,

allowing users to seek immediate help or access

critical safety guidelines during a flood disaster. The

overall findings highlight the system's reliability in

authentication, data security, and operational

efficiency. While it effectively manages user

registration and request handling, additional

enhancements in high-load performance optimization

and advanced security features could further

strengthen its capabilities. Overall, the system

presents a robust and secure framework that

successfully handles critical functionalities with

efficiency and reliability.

Furthermore, the request processing and database

transaction capabilities were examined, indicating

efficient query execution and simultaneous user

request handling. However, further optimization in

query processing could enhance performance,

especially during high-traffic periods.

Additionally, the system incorporates strong

encryption techniques for user credentials and

sensitive data, ensuring confidentiality and data

integrity across different modules.

Figure 3 show the

User Details. Error handling mechanisms were also

tested, demonstrating that the system provides

appropriate feedback for invalid inputs and

unexpected failures, enabling smooth recovery and

uninterrupted user experience. The above figure 2

represents Calling Page and screen displays an

ongoing emergency call, providing the user's real-

time location details to ensure prompt assistance

during a crisis and user details and user request.

Figure 6 and 7 shows the Request Page and Tracking

Page respectively.

Figure 2: Offline Services.

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Figure 3: show the User Details.

Figure 6: Request Page.

Figure 7: Tracking Page.

5 DISCUSSION AND FUTURE

WORK

5.1 Discussion

The experimental results provide a comprehensive

evaluation of various aspects of the system, including

user authentication, data security, system

performance, and overall functionality. The user

registration and authentication process ensure secure

credential management, effectively preventing

unauthorized access through robust validation

mechanisms. System performance and efficiency

were analyzed, revealing optimal response times

under normal conditions, though improvements may

be required under high-load scenarios to mitigate

latency. Additionally, the system incorporates strong

encryption techniques for user credentials and

sensitive data, ensuring confidentiality and data

integrity across different modules. Error handling

mechanisms were also tested, demonstrating that the

system provides appropriate feedback for invalid

inputs and unexpected failures, enabling smooth

recovery and uninterrupted user experience

5.2 Future Work

enhanced by integrating advanced technologies such

as AI-powered chatbots to assist users with real-time

safety tips and resource recommendations during

disasters. IoT-based flood sensors can be

incorporated to provide live updates on water levels

and weather conditions, improving early warning

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systems. Blockchain technology can enhance

transparency and security in donation tracking,

ensuring efficient fund utilization. The application

can be expanded with multilingual support to cater to

diverse users and include crowdsourced flood

mapping for better disaster response planning. An

offline mode can be introduced to allow users to

access critical information and submit requests even

in areas with limited connectivity. Collaborations

with government agencies and NGOs can further

improve aid distribution and emergency response

efficiency. Additionally, predictive analytics can be

leveraged to identify flood-prone areas and

implement preventive measures, reducing the impact

of future disasters. These advancements will enhance

the application’s scalability, reliability, and

effectiveness in managing flood relief efforts.

6 CONCLUSIONS

The proposed mobile application for flood disaster

relief enhances coordination, communication, and aid

distribution among donors, supporters, users, and

administrators. By integrating modules for

authentication, request management, safety

information, and verification, the system ensures

transparency, security, and efficiency in disaster

response efforts. The application streamlines the

process of requesting and aiding, reducing delays and

improving resource allocation. Through real-time

updates and secure interactions, the system helps

affected communities receive timely support,

ultimately minimizing the impact of floods and

improving disaster management outcomes.

REFERENCES

Flood Management System Using Cloud Computing and

Internet-of-Things || Himanshu Rai Goyal, Sachin

Sharma || 20-21 January 2023

Video surveillance system for realtime flood detection and

mobile app for flood alert || K. Priya Menon; L. Kala ||

18-19 July 2017.

Flooding through the lens of mobile phone activity || David

Pastor-Escuredo; Alfredo Morales-Guzmán; Yolanda

Torres-Fernández; Jean-Martin Bauer; Amit Wadhwa;

Carlos Castro-Correa || 10-13 October 2014.

Smart flood disaster prediction system using IoT & neural

networks || Swapnil Bande; Virendra V. Shete || 17-19

August 2017

Study on Decision Support System of Flood Disaster Based

on the Overall Process Emergency Management || Qing

Yang; Qiang Zhang || 21-25 September 2007

T. Sravani, T. Manikumar, and R. Maruthamuthu, “Rescue

Wings: Mobile Computing and Emergency Survival

Services,” International Journal of Innovations in

Engineering and Science, vol. 7, no. 5, pp. 1–7, May

2022.

L.Tejaswi and R. P. Kumar, “Disaster Mitigation and

Management for Andhra Pradesh, India: An

Appraisal,” International Journal of Earth Sciences

and Engineering, vol. 4, no. 3, pp. 443–453, June 2011.

Anam Ubaid, Rafiya Anjum, Samer Zehra, Syed

Muzammil, Suma R, "Rescue Wings: Computing

Rescue Wings using Online & Offline Service Support

for Disaster Rescue," Recent Advances in Technology

and Engineering (RATE-2017), 6th National

Conference, T John Institute of Technology, Bangalore,

2017, pp. 1-8.

V. Astarita, V.P. Giofrè, G. Guido, G. Stefano, and A. Vital,

“Mobile Computing for Disaster Emergency

Management: Empirical Requirements Analysis for a

Cooperative Crowdsourced System for Emergency

Management Operation,” Smart Cities, vol. 3, pp. 31–

47, Feb. 2020.

R. Koul, "Use of Social Media in Disaster Management,"

Proceedings of the 8th National Student’s Convention,

Bharati Vidyapeeth’s Institute of Computer

Applications and Management (BVICAM), New Delhi,

pp. 1–8, March 2015.

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COMMUNICATION, AND COMPUTING TECHNOLOGIES

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