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International Journal of Scientific Research and Engineering Development( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175 |
IJSRED » Archives » Volume 9 -Issue 1

📑 Paper Information
| 📑 Paper Title | ResQher - Women Safety Guardian/Voice Activated SOS |
| 👤 Authors | Vinusha S, Preethi R, Yamuna Rupini J, E.Padma Sundari |
| 📘 Published Issue | Volume 9 Issue 1 |
| 📅 Year of Publication | 2026 |
| 🆔 Unique Identification Number | IJSRED-V9I1P290 |
| 📑 Search on Google | Click Here |
📝 Abstract
The mobile safety solution powered by artificial intelligence delivers three essential functions which include real-time personal safety monitoring together with automated emergency detection and emergency response services that operate through its mobile-based technology platform which does not require any wearables. The system employs cutting-edge artificial intelligence technology to process multiple functions which include voice-activated distress detection and custom speaker authentication and sound environment monitoring and continuous GPS position tracking and protected real-time video transmission to detect security threats without needing users to initiate the process. The application lets users create voice profiles through their selected voice samples which then decreases false alarm rates which happen because of harmless background noises. The system generates location-based timestamps when it detects distress which then starts camera recording and streams protected live video to specific emergency contacts while sending SMS and WhatsApp alert notifications for instant emergency alerts. The solution provides offline emergency support through its ability to send SMS alerts while tracking local GPS information which enables system performance in areas with poor internet access. The monitoring system operates through a web-based dashboard which shows ongoing incidents and creates danger heatmaps and provides real-time intelligence to authorities and emergency responders. The technology-enabled safety platform uses artificial intelligence and secure communication methods together with adaptive threat evaluation and current intelligence to create a complete system which works on both mobile devices and web platforms for emergency response. The system enables safety management through its proactive features together with its capacity for fast emergency response and its ability to make decisions based on data from intelligent systems.
📝 How to Cite
Vinusha S, Preethi R, Yamuna Rupini J, E.Padma Sundari,"ResQher - Women Safety Guardian/Voice Activated SOS" International Journal of Scientific Research and Engineering Development, V9(1): Page(2121-2127) Jan-Feb 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.
📘 Other Details
