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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 3

📑 Paper Information
| 📑 Paper Title | AI-Based Women Safety System with Risk Area Prediction and Real-Time Emergency Alert Mechanism |
| 👤 Authors | Dr.Prabha R, Shashi Kumar M, Charan Sai A, Mohammed Talha Anjum, Md Saqib B |
| 📘 Published Issue | Volume 9 Issue 3 |
| 📅 Year of Publication | 2026 |
| 🆔 Unique Identification Number | IJSRED-V9I3P117 |
| 📑 Search on Google | Click Here |
📝 Abstract
Artificial Intelligence (AI) is playing an important role in developing smart safety and emergency response systems. The proposed AI-Based Women Safety, Risk Area Prediction and Emergency Alert System improves women safety through real-time location tracking, intelligent risk analysis, and instant emergency alerts. The system combines AI-based risk prediction, GPS tracking, and SMS alert technologies to identify safe and high-risk areas using historical crime data and predefined safety parameters. During emergencies, the system sends instant alerts with live location details to trusted contacts through SMS services. The proposed system also provides city-wide risk heatmap visualization for better safety awareness. This paper discusses the design and implementation of the proposed intelligent women safety system.
📝 How to Cite
Dr.Prabha R, Shashi Kumar M, Charan Sai A, Mohammed Talha Anjum, Md Saqib B,"AI-Based Women Safety System with Risk Area Prediction and Real-Time Emergency Alert Mechanism" International Journal of Scientific Research and Engineering Development, V9(3): Page(893-896) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.
📘 Other Details
