WOMEN SAFETY ANALYTICS-PROTECTING WOMEN FROM SAFETY THREATS

Authors

  • Prajyot Patil Computer Department, D.Y Patil School Of Engineering & Technology, Pune, Maharashtra, India Author
  • Suyash Awate Computer Department, D.Y Patil School Of Engineering & Technology, Pune, Maharashtra, India Author
  • Pratik Jadhav Computer Department, D.Y Patil School Of Engineering & Technology, Pune, Maharashtra, India Author
  • Kunal Pol Computer Department, D.Y Patil School Of Engineering & Technology, Pune, Maharashtra, India Author
  • Prof Anurag Kumar Computer Department, D.Y Patil School Of Engineering & Technology, Pune, Maharashtra, India Author

DOI:

https://doi.org/10.70849/IJSCI

Keywords:

women safety, safety analytics, predictive modeling, machine learning, real-time data, high-risk area detection

Abstract

Women’s safety remains a critical concern in today’s world, especially with the growing urban population and digital connectivity. Women Safety Analytics – Protecting Women from Safety Threats is a data-driven initiative aimed at enhancing the safety and security of women through advanced analytics and technology. This project leverages real-time data, predictive modeling, and machine learning algorithms to identify high-risk areas, detect potential threats, and provide timely alerts. By integrating mobile applications, GPS tracking, emergency contact features, and historical crime data, the system offers proactive safety solutions. Additionally, it supports public awareness by visualizing trends in unsafe zones and recommending precautionary measures. The goal is to empower women with reliable tools for self-protection, assist law enforcement in preventive policing, and foster a safer environment through data-backed decision making.

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Published

23-04-2025

How to Cite

[1]
Prajyot Patil, Suyash Awate, Pratik Jadhav, Kunal Pol, and Prof Anurag Kumar, “WOMEN SAFETY ANALYTICS-PROTECTING WOMEN FROM SAFETY THREATS”, Int. J. Sci. Inno. Eng., vol. 2, no. 4, pp. 6–10, Apr. 2025, doi: 10.70849/IJSCI.

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