SafeHerChild AI: An AI Powered Real Time Child and Women Abuse and Violence Detection System Using Deep Learning, Computer Vision, and Generative AI with Automated Alert Notifications
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Deep Learning
Computer Vision
CNN
OpenCV
Violence Detection
Generative AI
Flask
Behavioral Analytics
Safeguarding Intelligence
Automated Alert Notifications
Women Safety
Child Protection
Real Time Detection
Abuse Recognition
Abstract
SafeHerChild AI is an intelligent safeguarding framework designed for Real Time child and women abuse detection through the integration of Deep Learning, Computer Vision and Artificial Intelligence technologies. The system analyzes visual information to identify violence manifestations, aggression signatures and potential victimization scenarios with high predictive reliability. Advanced behavioral interpretation mechanisms facilitate autonomous threat recognition while automated alert notifications support rapid protective intervention. The framework incorporates a Detection Page for analytical processing, a Dashboard for safeguarding intelligence management, a Knowledge Center for awareness dissemination and an About module for system transparency. SafeHerChild AI enhances situational awareness, strengthens humanitarian protection and contributes toward technologically empowered safeguarding ecosystems.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Arti Humnabade | Visvesvaraya technological university, belagavi |
| 2 | P Sripalreddy | Visvesvaraya technological university, belagavi |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Humnabade, Arti & Sripalreddy, P (2026). SafeHerChild AI: An AI Powered Real Time Child and Women Abuse and Violence Detection System Using Deep Learning, Computer Vision, and Generative AI with Automated Alert Notifications. International Journal of Advance Research and Innovative Ideas In Education, 12(3), 1995-1998.
MLA Style
Humnabade, Arti, and P Sripalreddy. "SafeHerChild AI: An AI Powered Real Time Child and Women Abuse and Violence Detection System Using Deep Learning, Computer Vision, and Generative AI with Automated Alert Notifications." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, 2026, pp. 1995-1998.
IEEE Style
Arti Humnabade and P Sripalreddy, "SafeHerChild AI: An AI Powered Real Time Child and Women Abuse and Violence Detection System Using Deep Learning, Computer Vision, and Generative AI with Automated Alert Notifications," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, pp. 1995-1998, 2026.
Vancouver Style
Humnabade Arti, Sripalreddy P. SafeHerChild AI: An AI Powered Real Time Child and Women Abuse and Violence Detection System Using Deep Learning, Computer Vision, and Generative AI with Automated Alert Notifications. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(3):1995-1998.
Harvard Style
Humnabade, Arti & Sripalreddy, P (2026) 'SafeHerChild AI: An AI Powered Real Time Child and Women Abuse and Violence Detection System Using Deep Learning, Computer Vision, and Generative AI with Automated Alert Notifications', International Journal of Advance Research and Innovative Ideas In Education, 12(3), pp. 1995-1998.
Chicago Style
Humnabade, Arti and P Sripalreddy. "SafeHerChild AI: An AI Powered Real Time Child and Women Abuse and Violence Detection System Using Deep Learning, Computer Vision, and Generative AI with Automated Alert Notifications." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 1995-1998.
Turabian Style
Humnabade, Arti and P Sripalreddy. "SafeHerChild AI: An AI Powered Real Time Child and Women Abuse and Violence Detection System Using Deep Learning, Computer Vision, and Generative AI with Automated Alert Notifications." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 1995-1998.
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