Women Security Notification using IoT

Authors

  • Supriya Mishra ,Dr. Jayashree R

Keywords:

Women Safety, Internet of Things (IoT), Artificial Intelligence, Machine Learning, GPS Tracking, Emergency Response Systems, Threat Detection, Mobile Security, Real-time Monitoring, Support Vector Machine, Convolutional Neural Networks

Abstract

Women's safety remains one of the most pressing societal challenges of the 21st century, withincidents of harassment, assault, and violence against women continuing to rise globally. In Indiaalone, the National Crime Records Bureau reports alarming statistics highlighting the urgent need

References

Thummalakunta, P. B., Nemane, T., Naik, P., Palkar, S., & Poonawala, A. (2024). Implementation of IoT-based Real-time Women's Safety System. International Journal of Engineering Research & Technology, 13(1), 207-213. Available at: https://www.ijert.org/implementation-of-iot-based-real-time-womens-safety-system-3

National Crime Records Bureau. (2023). Crime Against Women in India Up by 4%: NCRB Report 2023. NewsClick. Available at: https://www.newsclick.in/crime-against-womenindia-4-ncrb-report-2023

Downloads

Published

2024-05-15

How to Cite

Supriya Mishra ,Dr. Jayashree R. (2024). Women Security Notification using IoT. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2198–2215. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3275

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.