Empowering Women through AI: Ensuring Safety and Awareness

Women face multiple challenges in achieving financial independence and personal safety. Although digital solutions exist, entrepreneurship guidance and emergency safety mechanisms are often provided separately. Women interested in starting businesses may lack structured information about startup opportunities, investment requirements, essential skills, financial assistance, and implementation procedures. Personal safety also remains a concern during travel, education, employment, and daily activities. This paper proposes ShaktiSafe, an integrated mobile application designed to address both challenges through a unified platform. The system consists of a Women Empowerment Module and a Women Safety Module. The empowerment module provides categorized business ideas, estimated investments, required qualifications, essential resources, and step-by-step implementation guidance. The safety module incorporates SOS alerts, voice-activated assistance, live location sharing, and emergency contact management. Artificial intelligence can support business discovery and information access, while mobile computing, database management, and location-based services enable essential functions. Multilingual interaction and an accessible interface are considered to support users with different levels of digital literacy. By integrating economic guidance with personal safety features, ShaktiSafe aims to promote awareness, entrepreneurial participation, confidence, and financial independence.

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Publication Details

Journal
Indian Journal of Computer Science and Technology
Published
2026-10-30
DOI
https://doi.org/10.59256/indjcst.20260503067
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Empowering Women through AI: Ensuring Safety and Awareness

H T Shubhashree, P S Devika, Arunkumar G H Dr., S Manogna et al.
Indian Journal of Computer Science and Technology
IoT and GPS-based Vehicle Safety Systems
article

Empowering Women through AI: Ensuring Safety and Awareness

H T Shubhashree, P S Devika, Arunkumar G H Dr., S Manogna, K Koushalya
article en

Abstract

Women face multiple challenges in achieving financial independence and personal safety. Although digital solutions exist, entrepreneurship guidance and emergency safety mechanisms are often provided separately. Women interested in starting businesses may lack structured information about startup opportunities, investment requirements, essential skills, financial assistance, and implementation procedures. Personal safety also remains a concern during travel, education, employment, and daily activities. This paper proposes ShaktiSafe, an integrated mobile application designed to address both challenges through a unified platform. The system consists of a Women Empowerment Module and a Women Safety Module. The empowerment module provides categorized business ideas, estimated investments, required qualifications, essential resources, and step-by-step implementation guidance. The safety module incorporates SOS alerts, voice-activated assistance, live location sharing, and emergency contact management. Artificial intelligence can support business discovery and information access, while mobile computing, database management, and location-based services enable essential functions. Multilingual interaction and an accessible interface are considered to support users with different levels of digital literacy. By integrating economic guidance with personal safety features, ShaktiSafe aims to promote awareness, entrepreneurial participation, confidence, and financial independence.

Indian Journal of Computer Science and Technology
Bapuji Institute of Engineering and Technology (IN)
Gender equality, Decent work and economic growth, Reduced inequalities, Industry, innovation and infrastructure, No poverty
Openalex Percentile: Top 23%
IoT and GPS-based Vehicle Safety Systems
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Empowering Women through AI: Ensuring Safety and Awareness — H T Shubhashree, P S Devika, et al. · Indian Journal of Computer Science and Technology (2026) | TGRS Research Map | TGRS