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Title: :  SecureMe: An AI application for women safety
PaperId: :  26088
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26088
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. Pooja KajaleDr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar
Sai Umesh NaikDr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar
Rushikesh Dattu NikamDr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar
Akshata Sopan MhaseDr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar
Om Ajay RasalDr. Vithalrao Vikhe Patil College of Engineering, Ahilyanagar

Abstract

Computer Engineering, Artificial Intelligence
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.
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.

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IJARIIE 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 Volume 11 Issue 2 2025 Page 1188-1196
MLA 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 11.2(2025) : 1188-1196.
APA Prof. Pooja Kajale, Sai Umesh Naik, Rushikesh Dattu Nikam, Akshata Sopan Mhase, & Om Ajay Rasal. (2025). SecureMe: An AI application for women safety. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 1188-1196.
Chicago 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 11, no. 2 (2025) : 1188-1196.
Oxford 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, 2025, p. 1188-1196. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SecureMe__An_AI_application_for_women_safety_ijariie26088.pdf (Accessed : ).
Harvard Prof. Pooja Kajale, Sai Umesh Naik, Rushikesh Dattu Nikam, Akshata Sopan Mhase, and Om Ajay Rasal. (2025) 'SecureMe: An AI application for women safety', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 1188-1196IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SecureMe__An_AI_application_for_women_safety_ijariie26088.pdf (Accessed : )
IEEE 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, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/SecureMe__An_AI_application_for_women_safety_ijariie26088.pdf [Accessed : ].
Turabian 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 [Online]. volume 11 number 2 ().
Vancouver 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 [Internet]. 2025 [Cited : ]; 11(2) : 1188-1196. Available from: https://ijariie.com/AdminUploadPdf/SecureMe__An_AI_application_for_women_safety_ijariie26088.pdf
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