SecureMe: An AI application for women safety

Prof. Pooja Kajale; Sai Umesh Naik; Rushikesh Dattu Nikam; Akshata Sopan Mhase; Om Ajay Rasal

SecureMe: An AI application for women safety

April 2025

Vol-11, Issue-2

Paper ID: 26088

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering, Artificial Intelligence

Keywords

Women’s safety AI-powered security real-time threat detection emergency alert system wearable technology location tracking SOS button biometric security IoT-based safety smart security solutions public safety evidence collection safe zone mapping voice-activated emergency alerts crowdsourced risk mapping.

Abstract

Women's safety remains a pressing concern worldwide, particularly in urban areas where harassment and violence are prevalent. Many women feel unsafe in public spaces such as transport hubs, malls, and even their neighbourhood’s. Existing security measures are often inadequate, making it essential to leverage technology for real-time assistance. SecureMe is a mobile application that utilizes AI for enhancing the safety of women by integrating multiple safety features. The application provides live location sharing, an SOS button, AI-based threat detection, and real-time evidence collection through recording audio and video. It even allows voice commands for sending emergency alerts, making it accessible even when physical interaction with the phone is not possible. SecureMe also includes an emergency contact list for quick dealing of police, ambulance, and fire services. For an additional layer of security, SecureMe also connects with wearable technology like smart bands and biometrically enabled wearables. These wearables allow for automatic activation of the distress signal upon detection of distress. Safe zone mapping is also provided in the application, which navigates the user to safe zones like police stations or hospitals in real time. Unlike existing safety apps, SecureMe provides a total security ecosystem that not only alerts emergency contacts but also collects legal evidence, which allows law enforcement to act promptly. Future updates planned include hidden camera and microphone detection to protect users from surveillance threats, and crowdsourced mapping of danger zones, allowing users to find and be alerted about high-risk areas. By integrating AI, IoT, and real-time data analytics, SecureMe aims to provide an end-to-end, proactive safety solution that empowers women and enhances public safety.

License

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

Author Information

#	Name	Institute / Affiliation
1	Prof. Pooja Kajale	Dr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar
2	Sai Umesh Naik	Dr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar
3	Rushikesh Dattu Nikam	Dr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar
4	Akshata Sopan Mhase	Dr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar
5	Om Ajay Rasal	Dr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar

How to Cite

Use the following formats to cite this article in your research.

APA Style

Kajale, Prof. Pooja, Naik, Sai Umesh, Nikam, Rushikesh Dattu, Mhase, Akshata Sopan, & Rasal, Om Ajay (2025). SecureMe: An AI application for women safety. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 1188-1196.

MLA Style

Kajale, Prof. Pooja, et al. "SecureMe: An AI application for women safety." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 1188-1196.

IEEE Style

Prof. Pooja Kajale, Sai Umesh Naik, Rushikesh Dattu Nikam, Akshata Sopan Mhase, and Om Ajay Rasal, "SecureMe: An AI application for women safety," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 1188-1196, 2025.

Vancouver Style

Kajale Prof. Pooja, Naik Sai Umesh, Nikam Rushikesh Dattu, Mhase Akshata Sopan, Rasal Om Ajay. SecureMe: An AI application for women safety. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):1188-1196.

Harvard Style

Kajale, Prof. Pooja, Naik, Sai Umesh, Nikam, Rushikesh Dattu, Mhase, Akshata Sopan, & Rasal, Om Ajay (2025) 'SecureMe: An AI application for women safety', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 1188-1196.

Chicago Style

Kajale, Prof. Pooja, et al. "SecureMe: An AI application for women safety." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 1188-1196.

Turabian Style

Kajale, Prof. Pooja, et al. "SecureMe: An AI application for women safety." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 1188-1196.