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Impact of AI on Advancing Women's Safety

February 2024

Publisher: IGI-Global Academic Publisher
ISBN: 9798369326794

Authors:

Sivaram Ponnusamy

Sandip Foundation

Vibha Rajesh Bora

G H Raisoni College of Engineering Nagpur

Prema Daigavane

Raisoni Group of Institutions

Sampada Wazalwar

G H Raisoni College of Engineering, Nagpur

Women encounter multifaceted threats, ranging from personal safety hazards to discrimination deeply embedded in societal structures. The existing landscape demands innovative strategies to ensure women can participate fully in society without fear or impediment. Traditional systems often fall short, necessitating a paradigm shift in our approach to women's safety. Impact of AI on Advancing Women's Safety emerges as a groundbreaking solution to address the pervasive challenges they face. From the shadows of harassment to systemic biases in justice systems, women navigate a complex landscape. This book delves into the pressing issues, unveiling a visionary approach that leverages artificial intelligence to create tangible, transformative solutions.

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Impact of AI on

Advancing Women’s

Safety

Sivaram Ponnusamy

Sandip University, Nashik, India

Vibha Bora

G.H. Raisoni College of Engineering, Nagpur, India

Prema M. Daigavane

G.H. Raisoni College of Engineering, Nagpur, India

Sampada S. Wazalwar

G.H. Raisoni College of Engineering, Nagpur, India

A volume in the Advances in Computational

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Names: Ponnusamy, Sivaram, 1981- editor. | Bora, Vibha, 1974- editor. |

Daigavane, Prema, 1966- editor. | Wazalwar, Sampada, 1990- editor.

Title: Impact of AI on advancing women’s safety / edited by Sivaram

Ponnusamy, Vibha Bora, Prema Daigavane, Sampada Wazalwar.

Other titles: Impact of artificial intelligence on advancing women’s safety

Description: Hershey, PA : Engineering Science Reference, [2024] | Includes

bibliographical references and index. | Summary: “This book delves into

various dimensions of AI’s impact on women’s safety, covering topics

such as predictive analytics, intelligent surveillance systems, mobile

apps, cyberbullying prevention, predictive policing, education, and

ethical considerations”-- Provided by publisher.

Identifiers: LCCN 2023054126 (print) | LCCN 2023054127 (ebook) | ISBN

9798369326794 (hardcover) | ISBN 9798369326800 (ebook)

Subjects: LCSH: Women--Violence against. | Women--Crimes against. |

Artificial intelligence--Social aspects.

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(ebook) | DDC 362.88/160285/63--dc23/eng/20240128

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Advances in Explainable AI Applications for Smart Cities

Mangesh M. Ghonge (Sandip Institute of Technology and Research Centre, India) Nijalingappa Pradeep (Bapuji

Institute of Engineering and Technology, India) Noor Zaman Jhanjhi (School of Computer Science and Engineer-

ing, Faculty of Innovation and Technology, Taylor’s University, Malaysia) and Praveen M Kulkarni (KLS Gogte

Institute of Technology, India)

Perspectives on Artificial Intelligence in Times of Turbulence Theoretical Background to Applications

Nuno Geada (ISCTE, University Institute of Lisboa, Portugal) and George Leal Jamil (Informações em Rede C

e T Ltda., Brazil)

Artificial Intelligence in the Age of Nanotechnology

Wassim Jaber (ESPCI Paris - PSL, France)

Application and Adoption of Robotic Process Automation for Smart Cities

R.K. Tailor (Manipal University Jaipur, India)

Deterministic and Stochastic Approaches in Computer Modeling and Simulation

Radi Petrov Romansky (Technical University of Sofia, Bulgaria) and Nikolay Lyuboslavov Hinov (Technical

University of Sofia, Bulgaria)

Technological Tools for Predicting Pregnancy Complications

D. Satishkumar (Nehru Institute of Technology, India) and P. Maniiarasan (Nehru Institute of Engineering and

Technology, India)

Meta-Learning Frameworks for Imaging Applications

Ashok Sharma (University of Jammu, India) Sandeep Singh Sengar (Cardiff Metropolitan University, UK) and

Parveen Singh (Cluster University, Jammu, India)

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To the Almighty, who has supported us with steadfast love and support, our parents, family members,

loved ones, mentors, instructors, and moral supporters. For all of you, we dedicate this. Your unwav-

ering affection, acceptance of our promises, and faith in our talents have motivated our efforts.

Editorial Advisory Board

John Basha, Jain University (Deemed), Bangalore, Karnataka, India

Pawan R. Bhaladhare, Sandip University, Nashik, Maharashtra, India

Harshita Chourasia, G H Raisoni College of Engineering, Nagpur, Maharashtra, India

M. Jenifer, NPR College of Engineering and Technology, Dindigul, Tamilnadu, India

Amol Potgantwar, Sandip University, Nashik, Maharashtra, India

S. Senthilkumar, University College of Engineering Tiruchirappalli, Tiruchirappalli, Tamilnadu, India

Bhisham Sharma, Chitkara University, Rajpura, Punjab, India

Priyanka Anup Ujjainkar, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India

Table of Contents

Foreword ............................................................................................................................................. xix

Preface ................................................................................................................................................. xxi

Acknowledgement .............................................................................................................................xxv

Chapter 1

AI-Based Smart Surveillance System: A Paradigm Shift in Security for Women and Beyond .............1

Hitesh Gehani, Yeshwantrao Chavan College of Engineering, India

Shubhangi Rathkanthiwar, Yeshwantrao Chavhan College of Engineering, India

Chapter 2

AI-Based Security Framework for Emotional and Personal Safety of Women ....................................14

R. Kamatchi, Universal AI University, Karjat, India

Nilima Zade, CSE, Symbiosis Institute of Technology, Symbiosis International University

(Deemed), India

Chapter 3

AI-Based Online Harassment and Cyber Bullying Prevention System ................................................24

Anita Chaudhary, Akal College of Engineering and Technology, India

Shivani, Akal College of Economics, Commerce, and Management, India

Chapter 4

AI-Driven Predictive Safety Analytics: Enhancing Workplace Security .............................................. 33

Seema Babusing Rathod, Independent Researcher, India

Harsha H. Vyawahare, Sipna College of Engineering and Technology, Amravati, India

Rupali Mahajan, VIIT, Pune, India



Chapter 5

Analysis of Crime Against Bharat Girls and Women: Introduction to Women’s Safety and

Technology ............................................................................................................................................ 53

Suhashini Awadhesh Chaurasia, Rashtrasant Tukadoji Maharaj Nagpur University, India

Nilesh Shelke, Symbiosis Institute of Technology, Symbiosis International University, India

Swati Sherekar, Sant Gadge Baba Amravati University, India

Swapnil Deshpande, S.S. Maniar College of Computer and Management, Nagpur, India

Sumukh Awadhesh Chourasia, Symbiosis Institute of Technology, Symbiosis International

University, India

Chapter 6

Application of Large language Models (LLMs) in Women’s Safety .................................................... 80

Santhosh Kumar Rajamani, MAEER MIT Pune’s MIMER Medical College, India & Dr.

BSTR Hospital, India

Radha Srinivasan Iyer, SEC Centre for Independent Living, India

Chapter 7

Applying Artiﬁcial Intelligence to Explore Online Harassment and Cyberbullying Prevention ........ 104

Anushka Aggarwal, Asian Business School, India

Shubhika Gaur, Asian Business School, India

Chapter 8

Artiﬁcial Intelligence: A Smart and Empowering Approach to Women’s Safety .............................. 121

Varkha K. Jewani, K.C. College, Mumbai, India

Prafulla E. Ajmire, G.S. College, Khamgaon, India

Suhashini Chaurasia, S.S. Maniar College of Computer and Management, Nagpur, India

Geeta N. Brijwani, K.C. College, Thane, India

Chapter 9

Empowering Women’s Safety: Strategies, Challenges, and Implications ........................................... 139

Krupali Rupesh Dhawale, G H Raisoni College of Engineering, India

Shraddha Shailesh Jha, G H Raisoni College of Engineering, India

Mishri Satish Gube, G H Raisoni College of Engineering, India

Shivraj Mohanraju Guduri, G H Raisoni College of Engineering, India

Chapter 10

Enhancing Human Safety and Well-Being: A Smart Wearable Compatible With Comprehensive

Android Application for Emergency Response ..................................................................................160

Supriya Suresh Thombre, Yeshwantrao Chavan College of Engineering, India

Sakshi Hemant Kokardekar, Yeshwantrao Chavan College of Engineering, India

Khushi Mangesh Panwar, Shaheed Rajguru College of Applied Sciences for Women,

University of Delhi, India

Anshuman Fauzdar, Indian Institute of Technology, Madras, India



Chapter 11

Inferring Personality From Social Media User Behaviors Using Dense Net Convolutional Neural

Networks ............................................................................................................................................. 173

Emilyn J. Jeba, Department of Information Technology, Sona College of Technology, Salem,

India

M. Murali, Department of Information Technology, Sona College of Technology, Salem,

India

N. Prabakaran, School of Computer Science and Engineering, Vellore Institute of

Technology, Vellore, India

Chapter 12

IoT-Based Smart Safety Analyzer for Women .................................................................................... 185

Sagar Singh Rathore, G.H. Raisoni College of Engineering, Nagpur, India

Naveen Kumar Dewangan, Bhilai Institute of Technology, India

Ravindra Manohar Potdar, Bhilai Institute of Technology, India

Pradeep Barde, G.H. Raisoni College of Engineering, Nagpur, India

Pranjali Jumle, G.H. Raisoni College of Engineering, Nagpur, India

Chapter 13

Mobile Application-Based Women’s Safety and Security System Using AI ..................................... 200

Hitesh Gehani, Shri Ramdeo Baba College of Engineering and Management, India

Sivaram Ponnusamy, Sandip University, Nashik, India

Chapter 14

Mobile Apps for Personal Safety of Women Using Blockchain Technology ..................................... 216

Geeta N. Brijwani, K.C. College, India

Prafulla E. Ajmire, G.S. Science, Arts, and Commerce College, Khamgaon, India

Varkha Jewani, K.C. College, India

Suhashini Chaurasia, Rashtrasant Tukadoji Maharaj, India

Chapter 15

Unlocking Insights: Ethical Considerations and Classiﬁcations of Data Analytics for Social

Networks ............................................................................................................................................. 238

Madhav Narayan Singh, Shell India Markets Pvt. Ltd., India

Shanmuga Raja B., Department of CSE, Kalasalingam Academy of Research and Education,

Krishnankoil, India

Anakath A. S., Department of Computer Science and Engineering, Saveetha School of

Engineering, Chennai, India

R. Kannadasan, School of Computer Science and Engineering, Vellore Institute of

Technology, Vellore, India

Prabakaran N, School of Computer Science and Engineering, Vellore Institute of

Technology, Vellore, India



Chapter 16

Voice-Activated SOS: An AI-Enabled Wearable Device ...................................................................251

Manthan Ghosh, G.H. Raisoni College of Engineering, India

Deepa Das, Shri Ramdeobaba College of Engineering and Management, India

Chapter 17

Women’s Care With Generalized Metabolism Analysis Report Based on Age Using Deep

Learning ..............................................................................................................................................278

Madhuri Amit Sahu, G H Raisoni College of Engineering, India

Minakshi A. Ramteke, G H Raisoni College of Engineering, India

Amit P. Sahu, G H Raisoni College of Engineering, India

Harshita Chourasia, G H Raisoni College of Engineering, India

Sivaram Ponnusamy, Sandip University, India

Compilation of References ............................................................................................................... 291

About the Contributors ....................................................................................................................309

Index ................................................................................................................................................... 314

Detailed Table of Contents

Foreword ............................................................................................................................................. xix

Preface ................................................................................................................................................. xxi

Acknowledgement .............................................................................................................................xxv

Chapter 1

AI-Based Smart Surveillance System: A Paradigm Shift in Security for Women and Beyond .............1

Hitesh Gehani, Yeshwantrao Chavan College of Engineering, India

Shubhangi Rathkanthiwar, Yeshwantrao Chavhan College of Engineering, India

Due to the expanding requirement for security, intelligence-based savvy observation was taken into

consideration. Observation frameworks are outlined to detect videos, pictures, sound, or any sort of

reconnaissance information without human intercession. Later progress in computer vision, mechanical

autonomy, and machine learning have played a noteworthy part in the selection of shrewd frameworks.

The framework proposed here will automatically react based on what comes about amid preparation in

diﬀerent modes. This chapter aims to supply an outline of AI-based insights and their capabilities. This

chapter also incorporates data around most forms of intelligence-based surveillance frameworks such

as following, location, and dissemination of objects and perception behavior.

Chapter 2

AI-Based Security Framework for Emotional and Personal Safety of Women ....................................14

R. Kamatchi, Universal AI University, Karjat, India

Nilima Zade, CSE, Symbiosis Institute of Technology, Symbiosis International University

(Deemed), India

The statistics mention that women harassment compared to the male counterparts is signiﬁcantly higher all

over the world. Even though the government has brought in very stringent laws for violence against women,

women’s safety has been a debatable and major social issue. We are in the era of Digital transformation

wherein all our processes and activities are enabled through technology platforms; it is also important to

implement the same and enable the women’s community to make use of these platforms to make them

more resilient and stronger. The technology implementation in women’s safety can be categorized into

physical, mental, and emotional aspects. AI-based solutions, AI-based collaborative security framework,

and the process of AI-enabled security solutions to ensure the holistic security aspects of women are

presented here. The increased technology implementation and the great penetration power of technology,

right from rural to urban areas and from illiterate to tech-savvy communities has improved the well-being



of women tremendously in the recent past.

Chapter 3

AI-Based Online Harassment and Cyber Bullying Prevention System ................................................24

Anita Chaudhary, Akal College of Engineering and Technology, India

Shivani, Akal College of Economics, Commerce, and Management, India

Online harassment and cyber bullying have become serious social issues with wide-ranging repercussions

in an age where the internet plays a signiﬁcant role in our everyday lives. This chapter of the book

examines the creation and application of AI-based systems for stopping online bullying and harassment

as cutting-edge solutions to this expanding issue. The chapter starts out by looking at how ubiquitous

online harassment is and the signiﬁcant eﬀects it has on both individuals and communities. It explores the

diﬃculties of preventing such behaviours in the digital sphere and draws attention to the shortcomings of

conventional moderation techniques. The chapter then delves deeply into the role that AI-based solutions

play in content analysis, user proﬁling, real-time monitoring, and alert production. Additionally, it

addresses the crucial issues of ethics and privacy, highlighting the necessity of responsible AI research

and data protection.

Chapter 4

AI-Driven Predictive Safety Analytics: Enhancing Workplace Security .............................................. 33

Seema Babusing Rathod, Independent Researcher, India

Harsha H. Vyawahare, Sipna College of Engineering and Technology, Amravati, India

Rupali Mahajan, VIIT, Pune, India

In today’s technology-driven era, workplace safety remains a paramount global concern. To proactively

prevent accidents, mitigate risks, and ensure employee well-being, this abstract introduces the research

project ‘AI-Driven Predictive Safety Analytics Enhancing Workplace Security.’ This initiative leverages

artiﬁcial intelligence (AI) and data analytics to transform occupational safety. By harnessing historical

incident data, real-time monitoring, and advanced machine learning, it aims to create a predictive safety

system that identiﬁes and pre-empts potential hazards. Anticipated outcomes include a more secure work

environment, reduced accidents, improved well-being, and enhanced eﬃciency. Empowering decision-

makers with actionable insights, this approach enables data-driven, proactive choices, setting the stage

for a safer workplace future through cutting-edge technology and data-driven insights.



Chapter 5

Analysis of Crime Against Bharat Girls and Women: Introduction to Women’s Safety and

Technology ............................................................................................................................................ 53

Suhashini Awadhesh Chaurasia, Rashtrasant Tukadoji Maharaj Nagpur University, India

Nilesh Shelke, Symbiosis Institute of Technology, Symbiosis International University, India

Swati Sherekar, Sant Gadge Baba Amravati University, India

Swapnil Deshpande, S.S. Maniar College of Computer and Management, Nagpur, India

Sumukh Awadhesh Chourasia, Symbiosis Institute of Technology, Symbiosis International

University, India

With increase in the technology there is increase in the crimes against girls and women. No matter

how much Bharat is growing in terms of economy, there is vast growth in sexual assault. So, there is a

necessity to analyse this aspect also. The crime against girls and women reported from 2017 to 2021 for

various states of Bharat country has been retrieved from the government port and used for the analyses

of this research chapter. The data is represented keeping view in every criterion which includes rape,

kidnapping, abduction, death due to dowry, insult, and many more. Graphical representation of the data

becomes easy to under real time situation of the country. Using this chapter, the authors want to attract the

Government of Bharat to understand the situation in the country and take appropriate action in this ﬁeld.

Chapter 6

Application of Large language Models (LLMs) in Women’s Safety .................................................... 80

Santhosh Kumar Rajamani, MAEER MIT Pune’s MIMER Medical College, India & Dr.

BSTR Hospital, India

Radha Srinivasan Iyer, SEC Centre for Independent Living, India

Large language models are sophisticated AI systems that process and produce text that resembles that

of a human being by learning patterns from enormous volumes of data. These systems make it possible

to do jobs like dialogue, translation, and content production. The most popular implementation of LLM

is the generated pretrained transformer (GPT) family of LLM. LLMs can assist in women’s safety in

numerous ways. They can help in distress and prove to be a dependable tool for women in the event of a

crisis. LLMs can be employed to create virtual support groups for susceptible women, virtual assistance

in times of crisis or need, and enhance the safety of women by suggesting avoidance of certain roads

or vicinities for safety concerns. llm apps can function as safety alarms, safety education programmes,

generative AIs to create appealing social media postings, blog entries, and videos, and safety-focused

wearable technology.

Chapter 7

Applying Artiﬁcial Intelligence to Explore Online Harassment and Cyberbullying Prevention ........ 104

Anushka Aggarwal, Asian Business School, India

Shubhika Gaur, Asian Business School, India

The advent of technological advancements has propelled global progress to unprecedented levels;

nevertheless, it has also emerged as a potent instrument that can be wielded to compromise the safety

of women. These issues have a detrimental eﬀect on the overall welfare and online encounters of

individuals. The ﬁeld of artiﬁcial intelligence (AI) has experienced signiﬁcant growth and has become a

formidable resource for tackling the urgent challenges related to women’s harassment and cyberbullying.

In order to address these challenges, scholars and experts have resorted to employing AI techniques



as proactive strategies for both prevention and intervention. This chapter explores the utilization of

artiﬁcial intelligence technology in mitigating instances of women’s harassment and cyberbullying by

the automated identiﬁcation and response to harmful information, hence promoting the establishment

of more secure online spaces.

Chapter 8

Artiﬁcial Intelligence: A Smart and Empowering Approach to Women’s Safety .............................. 121

Varkha K. Jewani, K.C. College, Mumbai, India

Prafulla E. Ajmire, G.S. College, Khamgaon, India

Suhashini Chaurasia, S.S. Maniar College of Computer and Management, Nagpur, India

Geeta N. Brijwani, K.C. College, Thane, India

In today’s society, women’s safety and empowerment are top priorities. Artiﬁcial intelligence (AI)

integration oﬀers a revolutionary means of resolving these problems. This abstract examines a clever

and empowering strategy that makes use of AI technologies to improve the safety of women.AI-powered

personal safety applications dramatically improve individual security by providing real-time location

monitoring, emergency notiﬁcations, and connectivity with trusted contacts. The use of AI algorithms

in predictive policing detects high-risk regions and patterns of violence against women, allowing for

tailored law enforcement responses. AI-enabled safety chatbots and hotlines oﬀer a secure environment

for reporting occurrences and provide details on one’s legal rights and available assistance options.

Platforms for reporting and crowdsourcing data enable women to contribute to data-driven safety eﬀorts,

enabling more eﬃcient responses. Initiatives for community interaction powered by AI raise awareness

and enable quick solutions to safety issues.

Chapter 9

Empowering Women’s Safety: Strategies, Challenges, and Implications ........................................... 139

Krupali Rupesh Dhawale, G H Raisoni College of Engineering, India

Shraddha Shailesh Jha, G H Raisoni College of Engineering, India

Mishri Satish Gube, G H Raisoni College of Engineering, India

Shivraj Mohanraju Guduri, G H Raisoni College of Engineering, India

Maintaining women’s security and happiness is critical in today’s world. The plan aims to provide

women with a comprehensive collection of resources that will increase their personal safety and allow

them to deal with daily life more freely. The main features of the app include emergency notiﬁcations,

real-time location sharing, and virtual escort capabilities. Users can rapidly send distress messages to

their pre-designated emergency contacts, including their exact location, to ensure a timely response in

critical situations. Furthermore, the software allows users to communicate their present positions with

trusted close companions, increasing personal safety when travelling alone. They have very little societal

involvement and are ineﬀectual if it involves ensuring the security of women.



Chapter 10

Enhancing Human Safety and Well-Being: A Smart Wearable Compatible With Comprehensive

Android Application for Emergency Response ..................................................................................160

Supriya Suresh Thombre, Yeshwantrao Chavan College of Engineering, India

Sakshi Hemant Kokardekar, Yeshwantrao Chavan College of Engineering, India

Khushi Mangesh Panwar, Shaheed Rajguru College of Applied Sciences for Women,

University of Delhi, India

Anshuman Fauzdar, Indian Institute of Technology, Madras, India

Risks to one’s health can arise for both corporate employees and individuals working in mines, factories,

or construction sites. On occasion, they must deal with dangerous circumstances like ﬁre, water, rockfall,

poisonous chemical releases at work, poor ventilation, etc. Several workers thus experience breathing

diﬃculties, heart attacks, hypertension, etc. In addition, women who work face the risk of harassment,

theft, etc. Even those who unavoidably suﬀer accidents while away from home for work or any other reason

regularly fail to notify their families or have delays in seeking medical care. In this study, an Android

app and a smart wristband are proposed which will measure wearer’s body temperature, heart rate, pulse,

and levels of oxygen saturation and send the data to the Android application on the user’s mobile device

with the 4G long term evolution (4G LTE) module and the internet of things (IoT) framework. This app

will even update the user’s family about mishappenings.

Chapter 11

Inferring Personality From Social Media User Behaviors Using Dense Net Convolutional Neural

Networks ............................................................................................................................................. 173

Emilyn J. Jeba, Department of Information Technology, Sona College of Technology, Salem,

India

M. Murali, Department of Information Technology, Sona College of Technology, Salem,

India

N. Prabakaran, School of Computer Science and Engineering, Vellore Institute of

Technology, Vellore, India

We live in a world where social media is omnipresent and integrated into our daily lives. People love to

express their interests, thoughts, and opinions on these social networking platforms. This information

reveals several psychological aspects of their behavior and can be used to predict their personality.

To predict this, introduce the method dense net convolutional neural network (DNCNN) is based on

predicting the social media users’ personality identiﬁcation. Performed an experimental evaluation

on a benchmark dataset for the task of categorizing personality traits into distinct classiﬁcations. The

review of the dataset yields improved results, showing that the proposed model can really arrange client

character attributes when contrasted with cutting-edge models. Posts and status updates can be used to

predict the personality of users of social media networks to improve accuracy. These results show that

picture features are better predictors of personality than text features, and also found that a proﬁle picture

reliably predicts personality with 96% accuracy.



Chapter 12

IoT-Based Smart Safety Analyzer for Women .................................................................................... 185

Sagar Singh Rathore, G.H. Raisoni College of Engineering, Nagpur, India

Naveen Kumar Dewangan, Bhilai Institute of Technology, India

Ravindra Manohar Potdar, Bhilai Institute of Technology, India

Pradeep Barde, G.H. Raisoni College of Engineering, Nagpur, India

Pranjali Jumle, G.H. Raisoni College of Engineering, Nagpur, India

Despite signiﬁcant technological advancements in modern times, the safety of women remains a persistent

concern. It’s important to develop IoT-based women’s security systems with a user-centric approach,

involving women in the design process to ensure the technology meets their needs eﬀectively. An internet

of things (IoT) based women’s security system leverages connected devices and sensors to enhance the

safety and well-being of women. These systems use technology to monitor, communicate, and respond

to potential threats or emergencies. Artiﬁcial intelligence-based tools are employed to distinguish male

individuals within designated women-only areas. The system assesses conditions by comparing speciﬁc

attributes against its internal safety database. Upon detecting a potentially concerning scenario, the

system promptly notiﬁes the staﬀ and triggers audible alarms for immediate attention. A “smart safety

analyzer for women” could refer to a technological solution aimed at enhancing the safety and security

of women in metro train.

Chapter 13

Mobile Application-Based Women’s Safety and Security System Using AI ..................................... 200

Hitesh Gehani, Shri Ramdeo Baba College of Engineering and Management, India

Sivaram Ponnusamy, Sandip University, Nashik, India

There are many shameless residential manhandles for ladies across the world. Usually quickened due to

the nonappearance of a successful following framework. This is centred on a female security framework

centred on AI which oﬀers security to women. This system can be programmed and manually react

accurately in pivotal circumstances. In arrange to accurately track the condition of casualty and Raspberry

Pi, the proposed gadget comprises a discourse acknowledgment device, Gsm modem, and a few other

locators, such as beat locators and an accelerometer, to screen the information and shirking or security

measures might be carried out agreeing to the noteworthiness of the issue. The authors utilize one program

and a few collar chain artifacts and shows that are in regular utilize. The machine is indistinguishable

from a screen on the collar with a button as a source, where, when turning on the yelling warning, the

electric stun gadget and the screen and area points of interest of contacts and the closest police station

are implemented for the self-defense aim.



Chapter 14

Mobile Apps for Personal Safety of Women Using Blockchain Technology ..................................... 216

Geeta N. Brijwani, K.C. College, India

Prafulla E. Ajmire, G.S. Science, Arts, and Commerce College, Khamgaon, India

Varkha Jewani, K.C. College, India

Suhashini Chaurasia, Rashtrasant Tukadoji Maharaj, India

The safety and security of women in today’s society is of paramount concern, given the myriad of challenges

and threats they face. In response to these pressing issues, this chapter explores the convergence of

technology and social welfare through the lens of “Mobile Apps Using Blockchain for Women’s Safety.”

The chapter commences by illuminating the gravity of the problem, emphasizing the need for innovative

solutions. It delves into the fundamental aspects of blockchain technology, elucidating its decentralized,

transparent, and secure nature, highlighting why it is aptly suited to address women’s safety concerns.

Chapter 15

Unlocking Insights: Ethical Considerations and Classiﬁcations of Data Analytics for Social

Networks ............................................................................................................................................. 238

Madhav Narayan Singh, Shell India Markets Pvt. Ltd., India

Shanmuga Raja B., Department of CSE, Kalasalingam Academy of Research and Education,

Krishnankoil, India

Anakath A. S., Department of Computer Science and Engineering, Saveetha School of

Engineering, Chennai, India

R. Kannadasan, School of Computer Science and Engineering, Vellore Institute of

Technology, Vellore, India

Prabakaran N, School of Computer Science and Engineering, Vellore Institute of

Technology, Vellore, India

The social media analytics, which relate to huge amount of data from various social media platforms,

are used to understand an opinion from the written language such as tweets, chats, comments. In existing

methods, the sentiment analysis on Xcorp (Twitter) was mostly used for emotion detection for the polling

methods; and star ratings are used to see the response from people. In this model, using Twitter API

to fetch the data and Naive Bayes model for classifying them. The tweets, retweets and comments are

collected and processed with the positive, neutral, and negative responses from the user will be reﬂected

for ethical considerations. The information obtained from this system is used in various applications like

analysis of social media support for politicians, safety technology in social media, a review based on user

response for a product, response from people or government for social or political issues (Hashtags),

movies, etc. The system will help to visualize statistics to analyse people’s responses to provide the most

eﬀective statistical tool for various industries.



Chapter 16

Voice-Activated SOS: An AI-Enabled Wearable Device ...................................................................251

Manthan Ghosh, G.H. Raisoni College of Engineering, India

Deepa Das, Shri Ramdeobaba College of Engineering and Management, India

In an era marked by technological innovation, the convergence of artiﬁcial intelligence (AI) and wearable

technology has yielded transformative solutions. Among these, the Voice-Activated SOS feature stands

as a pioneering advancement, revolutionizing personal safety by harnessing the power of AI to respond

swiftly to distress calls. This chapter provides a comprehensive exploration of this groundbreaking

technology, oﬀering insights into its development, functionality, and its profound impact on personal

security. At the heart of the Voice-Activated SOS feature lies advanced voice recognition AI, capable of

distinguishing distress signals from regular speech. This technology, seamlessly integrated into wearable

devices, empowers users to activate a distress call with a simple voice command. Once activated, the

device initiates a rapid communication workﬂow, transmitting alerts to designated emergency contacts

along with real-time location data.

Chapter 17

Women’s Care With Generalized Metabolism Analysis Report Based on Age Using Deep

Learning ..............................................................................................................................................278

Madhuri Amit Sahu, G H Raisoni College of Engineering, India

Minakshi A. Ramteke, G H Raisoni College of Engineering, India

Amit P. Sahu, G H Raisoni College of Engineering, India

Harshita Chourasia, G H Raisoni College of Engineering, India

Sivaram Ponnusamy, Sandip University, India

Women are facing diﬀerent problems in diﬀerent stages. The importance of comprehending women’s

personal and health issues is highlighted in the opening section. Women are suﬀering from so many

problems, such as peer pressure, depression and anxiety, ﬁnancial issues, transportation blockades, time

management, girls’ security and safety, homesickness, career choice perspective, early marriage issues,

physical activity and nutrition, substance abuse, mental health issues, physical injury, and violence. The

data is grouped by age; for instance, age 8 to 12, age 12 to 16, age 17 to 24, age 25 to 30, age 30 to 40, age

40 to 60, and age 60 to 80. Using deep learning techniques, the proposed system aims to conceptualize

and understand these issues, and to develop one website which would provide a solution for each and

every query with consulted name and address.

Compilation of References ............................................................................................................... 291

About the Contributors ....................................................................................................................309

Index ................................................................................................................................................... 314

Foreword

A shining example of technological innovation, artificial intelligence has the potential to alter the funda-

mental foundations of our civilizations. We must seriously assess the influence of AI on many aspects of

our lives, particularly those that have traditionally suffered obstacles and inequities, as we move through

this landscape of possibilities. The book Impact of AI on Advancing Women’s Safety is a riveting voyage

into the convergence of technology and gender, illuminating one essential and sometimes ignored facet

of the AI revolution.

The right to feel safe is paramount, and for a very long time, women have struggled with concerns

that threaten their safety. This book, which explores how artificial intelligence might be used to improve

women’s safety in today’s dynamic society, stands out as an essential and relevant addition to the con-

versation. The authors go deeply into the complexities of this connection, providing a comprehensive

study of the advantages and disadvantages that artificial intelligence may bring.

This collection combines in-depth research, case studies, and the opinions of experts to shed light

on the many ways in which artificial intelligence technology might be used to make communities safer

for women. The authors provide various AI-powered solutions, from intelligent surveillance systems

to new personal safety applications, to address the specific issues women confront in different settings.

This book, however, is not a simple ode to technical progress. It’s a rallying cry for making AI’s ad-

vantages available to everyone and a call to action to ensure that happens. The authors urge us to think

about the ethical implications so that we don’t unintentionally reinforce existing prejudices or increase

gender gaps when we use AI in safety measures. They inspire us to think of a future in which artificial

intelligence is used ethically and responsibly to make the world safer and fairer for women.

The concepts in this book serve as a compass as we approach a new age in which artificial intelligence

(AI) enters every area of our lives, leading us to a tomorrow in which everyone realizes the benefits of

technology. To get closer to a society where women may live without fear, the authors encourage govern-

ments, engineers, and campaigners to work together to define the future and harness AI’s revolutionary

potential.

In the following pages, readers will discover a compelling vision for a future where technology be-

comes a catalyst for good change and a thorough analysis of the influence of AI on women’s safety. This

book is a must-read for anybody interested in learning about, contributing to, and shaping the junction of

AI and improving women’s safety. We hope it will motivate people to work together to use technology

to its fullest potential for the common good.

This book deepens into the unique viewpoints and creative strategies for improving women’s welfare

programs using modern computing capabilities. It is a gathering of thought leaders committed to using

technology to improve social welfare systems in terms of efficiency, effectiveness, and fairness.

xix

Foreword

This book’s chapters cover various topics and disciplines, including healthcare, education, poverty

reduction, social justice, and community development. The authors provide a deep dive into the specif-

ics of optimization methods, data analysis, artificial intelligence, machine learning, and other emerging

technologies that potentially transform how we approach social problems.

The authors provide conceptual models, case studies, and real-world applications to back up their

claims that technology may revolutionize the field of social welfare. The authors explain how technology

progress might be used to create more equitable, sustainable, and empathetic communities by sharing

their own experiences and insights.

I sincerely desire that this book be a source of motivation, insight, and contemplation for academics,

professionals, and students in various disciplines. The ideas presented here have the potential to influ-

ence the future of social welfare, influencing policy choices, directing the creation of novel solutions,

and ultimately bettering the lives of people and communities everywhere.

I appreciate the authors’ hard work and dedication to moving the discussion of advancing women’s

safety with AI employing cutting-edge software. I want to thank the book’s editors and production staff

for their tireless efforts in making this vital collection a reality.

Hopefully, this book will pique readers’ interest, encourage them to work together and pave the way

toward a future in which technology is used effectively to advance gender equality and human development.

Rajendra Sinha

Sandip University, Nashik, India

Preface

As the editors of this timely reference book, Impact of AI on Advancing Women’s Safety, we are pleased

to present a comprehensive exploration of the intersection between technology, artificial intelligence,

and the critical issue of women’s safety. In recent years, artificial intelligence has opened up new pos-

sibilities to enhance women’s security in public and private spheres. This edited volume brings together

a wealth of insights from experts in the field, shedding light on the potential of AI to make meaningful

contributions toward fostering a safer world for women.

AI has ushered in a new era of safety tools designed to empower women in diverse settings. From

smart gadgets to personalized applications, these AI-driven solutions offer a range of features, including

location monitoring, real-time threat assessment, and emergency response coordination. The ability to

tailor these technologies to individual needs marks a significant stride toward providing women with a

heightened sense of independence and peace of mind in their daily lives.

In this book, we delve into various dimensions of AI’s impact on women’s safety, covering topics

such as predictive analytics, intelligent surveillance systems, mobile apps, cyberbullying prevention,

predictive policing, education, and ethical considerations. Each chapter contributes to a broader under-

standing of how AI tools can be harnessed to address women’s safety concerns while acknowledging

their deployment’s social, ethical, and legal implications.

The potential of AI to combat sexism, harassment, and violence against women is profound. The ap-

plications are vast, from video analytics and facial recognition software monitoring public spaces to AI

chatbots providing a secure environment for reporting incidents. The ability of AI algorithms to identify

and rectify bias in decision-making processes within criminal justice systems offers a glimmer of hope

for a more just and equitable society.

However, with these promises come challenges. The ethical use of data, algorithmic bias, and privacy

concerns demand careful consideration. As technology continues to evolve, so must our commitment to

using it ethically and ensuring that it serves the interests of all without perpetuating existing inequities.

Chapters within this comprehensive reference book collectively form a compelling narrative that spans

the realms of intelligent surveillance, digital transformation, combating online harassment, predictive

safety analytics in the workplace, and the socio-technological landscape of crimes against women. From

the analysis of government-reported data in Bharat to the innovative applications of Large Language

Models and the revolutionary potential of blockchain in women’s safety, each chapter contributes unique

insights and solutions. Delving into the ethical considerations, privacy concerns, and proactive strate-

gies for women’s security, this collection is an indispensable guide for policymakers, law enforcement

agencies, and technologists. It advocates dedicated to fostering a world where women can live free from

fear and fully participate in all aspects of society. The chapters span a spectrum of AI applications, from

xxi

Preface

wearable technology to sentiment analysis on social media, providing a holistic perspective on leveraging

cutting-edge technology to address the multifaceted challenges surrounding women’s safety.

Chapter 1 provides an in-depth exploration of intelligent surveillance systems designed to enhance

women’s safety. As the demand for security continues to grow, advancements in computer vision, robot-

ics, and machine learning have paved the way for sophisticated surveillance frameworks. The proposed

system responds automatically based on training outcomes, offering various modes to adapt to different

scenarios. The chapter offers an overview of AI-based insights and their capabilities, encompassing

various forms of intelligent surveillance, including tracking, location monitoring, object distribution,

and behaviour perception.

Addressing the significant global issue of women’s safety, Chapter 2 examines the implementation of

AI-driven solutions to empower women. Despite stringent laws, women’s safety remains a contentious

social problem. Technology platforms can make women more resilient and vital in the digital transfor-

mation era. The chapter categorizes technology implementation into physical, mental, and emotional

aspects, presenting AI-based collaborative security frameworks and processes to ensure holistic security.

From rural to urban areas, widespread technological penetration has significantly improved women’s

well-being.

Chapter 3 delves into the pervasive issues of online harassment and cyberbullying, offering cutting-

edge AI-based solutions to address these challenges. It highlights the prevalence and effects of online

harassment, discussing the limitations of traditional moderation techniques. The chapter explores the

role of AI in content analysis, user profiling, real-time monitoring, and alert generation. Emphasis is

placed on the ethical considerations and privacy concerns associated with implementing AI solutions,

underscoring the importance of responsible AI research and data protection.

Focusing on workplace safety in the technology-driven era, Chapter 4 introduces a research project

leveraging AI and data analytics. The initiative aims to proactively prevent accidents, mitigate risks, and

enhance employee well-being through a predictive safety system. The chapter anticipates a more secure

work environment, reduced accidents, improved well-being, and enhanced efficiency by utilizing historical

incident data, real-time monitoring, and advanced machine learning. Decision-makers are empowered

with actionable insights, paving the way for a safer workplace future through cutting-edge technology.

Chapter 5 tackles the increase in crimes against women in Bharat, offering a data-driven analysis

of reported incidents from 2017 to 2021. The research utilizes government data to represent various

criteria such as rape, kidnapping, dowry-related deaths, and more. Graphical representations provide

real-time insights into the country’s situation, urging the government to understand and appropriately

address these challenges.

Exploring the role of Large Language Models (LLMs) in women’s safety, Chapter 6 introduces the

applications of sophisticated AI systems like GPT in distress situations. LLMs are discussed for creating

virtual support groups, offering virtual assistance during crises, and enhancing women’s safety through

personalized recommendations. The chapter sheds light on how LLMs contribute to safety education,

generating content and wearable technology designed to focus on women’s safety.

Chapter 7 examines the growth of AI in addressing challenges related to women’s harassment and

cyberbullying. It explores proactive strategies for prevention and intervention, utilizing AI techniques

for automated identification and response to harmful information. The focus is on creating secure online

spaces and the ethical considerations for employing AI in these efforts.

Highlighting the priority of women’s safety and empowerment, Chapter 8 explores the integration of

AI to resolve these challenges. It discusses AI-powered personal safety applications, predictive policing,

xxii

Preface

safety chatbots, and reporting platforms. The chapter emphasizes how AI contributes to creating a safer

environment for women and suggests avenues for community interaction to raise awareness and prompt

solutions to safety issues.

Chapter 9 addresses the critical need for women’s security and happiness, introducing AI-enhanced

mobile apps as a solution. The features include emergency notifications, real-time location sharing, and

virtual escort capabilities. Users can communicate distress messages to designated contacts, enhancing

personal safety during travel or in critical situations. The chapter underscores the societal impact of AI

in ensuring women’s security.

Focusing on health and safety risks faced by women in various workplaces, Chapter 10 proposes an

Android app and smart wristband leveraging AI. The system monitors vital signs and sends data to a

mobile app, updating the user’s family about any mishaps. It addresses issues such as harassment, theft,

and accidents, emphasizing the role of AI in providing timely assistance and ensuring women’s well-being.

Chapter 11 explores the use of Dense Net Convolutional Neural Network (DNCNN) for predicting social

media users’ personalities based on their posts and status updates. The model utilizes image features and

presents improved results in categorizing personality traits. The chapter highlights the potential of AI in

predicting personality traits from social media data, providing valuable insights for various applications.

In response to persistent safety concerns, Chapter 12 introduces IoT-based women’s security systems

with a user-centric approach. It leverages connected devices and sensors, incorporating AI tools to dis-

tinguish individuals within designated women-only areas. The system assesses conditions, triggering

alarms and notifying staff in potentially concerning scenarios. The chapter emphasizes a “smart safety

analyzer for women” as a technological solution to enhance women’s safety.

Addressing the need for effective tracking systems, Chapter 13 introduces a female security system

based on AI. The proposed device, utilizing speech recognition, a GSM modem, and various locators,

aims to provide accurate responses in crucial situations. The chapter discusses the implementation of

electric shock devices and location details for self-defence purposes.

Chapter 14 explores the convergence of technology and social welfare through the lens of mobile apps

using blockchain for women’s safety. It emphasizes blockchain technology’s decentralized, transparent, and

secure nature, showcasing its potential to address women’s safety concerns through innovative solutions.

Chapter 15 focuses on social media analytics for sentiment analysis, using the Naive Bayes model

and Twitter API to fetch and classify data. The information obtained is applied in various applications,

including analyzing social media support for politicians, safety technology in social media, and reviews

based on user responses for products, social and political issues, movies, etc. The chapter highlights the

system’s potential as an effective statistical tool for various industries.

Examining the transformative solutions arising from the convergence of AI and wearable technology,

Chapter 16 explores the Voice-Activated SOS feature. The feature uses advanced voice recognition AI

to distinguish distress signals from regular speech, empowering users to activate a distress call with a

simple voice command. The chapter provides insights into this groundbreaking technology’s develop-

ment, functionality, and profound impact on personal security.

Chapter 17 emphasizes the importance of understanding women’s personal and health issues across

different age groups. The proposed system uses deep learning techniques to conceptualize and address

various issues such as peer pressure, depression, financial concerns, safety, and health problems specific

to different age brackets. The chapter introduces a web platform as a solution to provide guidance and

support for women’s diverse challenges.

xxiii

Preface

This book is not just for scholars and researchers; it is a resource for policymakers, law enforcement

agencies, technology developers, women’s rights advocates, and anyone committed to creating a safer

world for women. We aim to foster informed discussions and inspire further research and innovation

in women’s safety by exploring the potential advantages and pitfalls of AI and emerging technologies.

As editors, we thank the contributors who have enriched this volume with their expertise and diverse

perspectives. We hope this book serves as a valuable resource for understanding, implementing, and

advancing the role of AI in promoting women’s safety. Together, let us harness the power of technol-

ogy to create a world where women can live free from fear and fully participate in all facets of society.

Sivaram Ponnusamy

Sandip University, India

Vibha R. Bora

G.H. Raisoni College of Engineering, India

Prema M. Daigavane

G.H. Raisoni College of Engineering, India

Sampada S. Wazalwar

G.H. Raisoni College of Engineering, India

xxiv

Acknowledgement

Many people need support, direction, and participation in the collaborative process of writing a book. As

we complete our work on the Impact of AI on Advancing Women’s Safety, we sincerely thank everyone

who helped make this endeavor possible.

We express our heartfelt gratitude to the Supreme Being, our Parents, and our extended Family for their

continuous love, assistance, and counsel throughout our lives. Our appreciation extends to our beloved

family members who have stood by us in our professional journeys, contributing to the refinement of

this book. The steadfast encouragement, belief in our abilities, and enduring affection you have shown

us have served as the bedrock that propelled us forward in this undertaking.

We want to express our sincere gratitude to every author for contributing their insightful opinions, vast

experience, and thorough research to this book. Your enthusiasm for social welfare applications and eager-

ness to impart knowledge have greatly aided in developing a comprehensive and informative resource. It

was determined that every chapter in the book was necessary; otherwise, it wouldn’t have been complete.

Furthermore, we acknowledge and value the meticulous efforts and precious time invested by every

member of our editorial board and chapter reviewers in enhancing the quality of the information within

the book. We extend our thanks to the reviewers who diligently scrutinized the chapters, provided

constructive criticism, and played a pivotal role in elevating the overall standard of the content. Your

expertise and discerning analysis have been instrumental in enhancing the scholarly merit of this book.

We want to thank the IGI Global editorial and production teams for their hard work in making this book

a reality. Your dedication to excellence, professionalism, and attention to detail have benefitted the entire

publishing process.

We appreciate our coworkers’ and peers’ support as we prepared this book. Your support, conversations,

and experiences with us have shaped our viewpoints and improved the information in our work.

We want to express our sincere gratitude to everyone who helped write this book, whether they were

directly involved or not. Impact of AI on Advancing Women’s Safety is the result of our collaborative ef-

forts, and anticipating significant value, we believe that this resource will be instrumental in enhancing

women’s safety through AI technology.

xxv

Chapter 1

DOI: 10.4018/979-8-3693-2679-4.ch001

ABSTRACT