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@article{176040,
        author = {KAPPA SHANKAR REDDY and GUDLA APARANJINI and KALISETTY KANAKAMAHALAKSHMI and KERRU VARA PRASAD and KARANAM VENKATA MANIKANTA SAI and ALLAM SAI LAXMI NARAYANA},
        title = {Empowering Womens’ Safety: Bridging Gaps with AI- Driven Solutions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4980-4984},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176040},
        abstract = {Women’s safety remains a paramount concern globally, with countless incidents of harassment and violence highlighting the urgent need for innovative solutions. Current safety apps are primarily reactive, providing assistance only after an incident occurs, leaving women vulnerable in critical moments. To address these gaps, an intelligent and proactive Women’s Safety App is proposed, leveraging Generative AI, real-time data analytics, Augmented Reality (AR), and wearable technology to redefine personal safety standards. The app stands apart with its ability to predict potential threats and deliver personalized, real-time safety recommendations based on user behavior and environmental factors. Augmented Reality navigation offers safe route visualization, while Geofencing technology alerts users upon entering high-risk areas. The app enables discreet SOS activation through voice commands or hand gestures, instantly notifying trusted contacts with live location updates. Integrated with audio-video recording capabilities and a community support network, the app ensures immediate assistance while capturing crucial evidence to support accountability.
By empowering women with tools for proactive decision-making, enhanced situational awareness, and discreet communication, the app transforms safety into a dynamic, adaptive, and community-driven experience. This innovation not only provides a sense of security but also sets a new benchmark for safety technology, fostering independence, confidence, and cultural empowerment for women worldwide.},
        keywords = {Women’s Safety, Generative AI, Real-time Data Analytics, Augmented Reality (AR), Wearable Technology, Proactive Safety Measures, SOS Alert System, Machine Learning Algorithms.},
        month = {April},
        }