HerSentinel - An Intelligent Companion for Women’s Safety

Dr. Archana Sharma; Harsh Kumar Rai; Amrit Raj; Manan Kundra

doi:10.5281/zenodo.21234236

Authors

Dr. Archana Sharma Department of Computer Applications, Delhi Technical Campus (DTC) Greater Noida, Uttar Pradesh.
Harsh Kumar Rai Department of Computer Applications, Delhi Technical Campus (DTC) Greater Noida, Uttar Pradesh.
Amrit Raj Department of Computer Applications, Delhi Technical Campus (DTC) Greater Noida, Uttar Pradesh.
Manan Kundra Department of Computer Applications, Delhi Technical Campus (DTC) Greater Noida, Uttar Pradesh.

DOI:

https://doi.org/10.5281/zenodo.21234236

Keywords:

Machine Learning, Mental Health Prediction, Instagram Usage Patterns, Random Forest, Social Media Analytics, Classification Algorithms

Abstract

In recent times, mobile technology has been significantly instrumental in improving safety and emergency response systems. In this research, we present a mobile application called HerSentinel that allows real-time safety for women and incorporates an emergency response system within the mobile device. The design is meant to minimize response time while increasing accessibility in case of emergencies. The app includes features such as SOS alert, motion sensor, voice command, and real-time location tracking with authorized guardians. The app is coded using React Native for the front-end and Node.js for the back-end to facilitate seamless communication. APIs are used to guarantee efficient data transmission. Data security is ensured through HTTPS and JWT. Unlike existing technologies, HerSentinel does not use persistent monitoring and responds to emergencies only if necessary. Testing conducted shows fast response rates. Users find the application easy to use.