Integrated Women Safety Application

Authors

  • Mukesh Kumar Malkari Student, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India
  • S. Maruthuperumal Professor, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India
  • Ajay Kumar Reddy Duggu Student, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India
  • Kruthik Chander Maidamshetty Student, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India
  • Srinivasa Reddy Medagam Student, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India

DOI:

https://doi.org/10.5281/zenodo.10968396

Keywords:

smart cities, geographic information system (GIS), crime analysis, crime response, women safety, mobile application, wearable device

Abstract

The Integrated Women's Safety Application is a comprehensive platform designed to address the safety concerns of women. The application offers a range of features that aim to enhance personal security and provide a sense of comfort to users. One of the standout features of the application is the secure login system, which ensures that only authorized users have access to the platform. In addition, the emergency panic feature allows users to quickly raise an alarm in times of distress, alerting authorities and selected emergency contacts. The application also incorporates news alerts, keeping users informed about potential safety risks or incidents in their vicinity. This proactive approach enables women to stay vigilant and make informed decisions about their safety. Furthermore, the route navigation feature guides users through safe routes, taking into consideration the proximity of police stations to ensure quick access to help if needed. This functionality not only assists in day-to-day commuting but also provides peace of mind when traveling alone or in unfamiliar areas. The incident reporting feature allows users to report any safety concerns or incidents they encounter, helping to create a safer community by sharing valuable information with authorities. Lastly, the application utilizes a Support Vector Machine (SVM) algorithm to generate a heatmap visualization. This feature provides an overview of areas prone to safety incidents, enabling users to make informed choices when planning their activities.

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Published

13-04-2024

Issue

Section

Articles

How to Cite

[1]
M. K. Malkari, S. Maruthuperumal, A. K. R. Duggu, K. C. Maidamshetty, and S. R. Medagam, “Integrated Women Safety Application”, IJRESM, vol. 7, no. 4, pp. 64–67, Apr. 2024, doi: 10.5281/zenodo.10968396.