#MeToo: An App to Enhancing Women Safety

Sheikh, Javed Anjum; Fayyaz, Zonia

doi:10.1007/978-3-319-94947-5_55

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…'SafetiPin' [9], is one of the most popular applications to the criteria which can share location and provide safe routes. Pakistani application, 'MehfoozAurat' [10] and '#MeToo' [11], European application 'Ana Bella' [12], American application 'The Sojourner Peace app' [13], Bangladeshi women safety application 'HearMe' [14] are working relentlessly to safeguard women in homes and outside places. Other than 'HearMe' [14], none of the above-mentioned applications provide features like lock screen access or emergency siren.…”

Section: Introductionmentioning

confidence: 99%

“SuperWomen”: A Smart Mobile Application for Social Security focusing Threats and Supports for Women

Monalisa

Himi

Ferdous

et al. 2021

Int. J. Interact. Mob. Technol.

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<p>Though in this modern society men and women are said to be given equal rights, having no gender discrimination, women are still considered weak and endlessly facing rape, domestic violence, eve-teasing, workplace violence, physical assault, cyberbullying even being killed. In South Asian countries, like Bangladesh, India, Pakistan there are thousands of cases regarding violence against women. The use of ICT including smartphone applications can be an aid in building awareness and support against these issues. Although several applications were developed worldwide, but not out there online for sensible use. In this paper, we aspire to present women with a technical solution by providing them a mobile application “SuperWomen” that is centered on urban and rural women of Asian countries and also available online. Not only women, but its voice-controlled siren feature is also a great help for physically challenged individuals, that works even on the lock screen. Survey feedback of this application shows that it takes care of each pre-incidental and post-incidental condition like an expert. This application provides user-friendly navigation for women with less technical knowledge. Its key features are secret button emergency SMS alert, location sharing with any social media, lawyer chatbot, pictorial self-defense techniques, etc. The effectiveness of this application has been justified through extensive literature review, application benchmark, performance evaluation, user survey, deployment in Google Play Store. We believe that this will bring a holistic resolution to safeguard suppressed women worldwide.<strong> </strong></p>

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Section: Introductionmentioning

confidence: 99%

“SuperWomen”: A Smart Mobile Application for Social Security focusing Threats and Supports for Women

Monalisa

Himi

Ferdous

et al. 2021

Int. J. Interact. Mob. Technol.

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Women Assault Detection and Providing Help Using Pitch

Sagar¹,

Goud²,

Sharma³

et al. 2022

Advancements in Interdisciplinary Research

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A System to Prevent Social Violence using Convolutional Neural Network

Akter,

Omar,

Siam

et al. 2023

Proceedings of the 2023 9th International Conference on Computer Technology Applications

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Hereby, we consciously assure that for the manuscript 'A System to Prevent Social Violence using Convolutional Neural Network' the following is fulfilled:• This material is the authors' own original work, which has not been previously published elsewhere.• The paper is not currently being considered for publication elsewhere.• The paper reflects the authors' own research and analysis in a truthful and complete manner.• The paper properly credits the meaningful contributions of co-authors and co-researchers.• The results are appropriately placed in the context of prior and existing research.• All sources used are properly disclosed (correct citation). Literally copying of text must be indicated as such by using quotation marks and giving proper references.• All authors have been personally and actively involved in substantial work leading to the paper and will take public responsibility for its content.The violation of the Ethical Statement rules may result in severe consequences. We all the authors agree with the above statements.

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#MeToo: An App to Enhancing Women Safety

Cited by 3 publications

References 11 publications

“SuperWomen”: A Smart Mobile Application for Social Security focusing Threats and Supports for Women

“SuperWomen”: A Smart Mobile Application for Social Security focusing Threats and Supports for Women

Women Assault Detection and Providing Help Using Pitch

A System to Prevent Social Violence using Convolutional Neural Network

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