Improved Women Security Algorithm using AI

Authors

  • Supriya Mishra,Dr. Jayashree R

Keywords:

Women Safety, Artificial Intelligence, Machine Learning, GPS Tracking, Mobile Security, SVM, CNN, NLP, Emergency Response, Real-time Threat Detection

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 needfor innovative safety solutions. Traditional security systems, while well-intentioned

References

Artificial Intelligence: A Smart and Empowering Approach to Women's Safety. (2023).

ResearchGate. Available at: https://www.researchgate.net/publication/378269718_Artificial_Intelligence_A_Smart_and_Empowering_Approach_to_Women's_Safety

Downloads

Published

2024-05-15

How to Cite

Supriya Mishra,Dr. Jayashree R. (2024). Improved Women Security Algorithm using AI . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2074–2091. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3163

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.