RakshaDeep: A Beacon of Safety for Women in Distress

Abstract

RakshaDeep is a safe, real time digital platform that supports the protection of women in distress through efficient access to a local center of support. The platform has three functional interfaces; the Victim, Intermediary and Admin. The two-way and secure communication of emergency needs is implemented so that a victim and intermediary can communicate efficiently without the risk of being compromised. Using geolocation services and an NGO dataset, we can ensure proper matching to service providers, whether legal aid, emergency responders or shelters, to ensure the best response possible. Some of the features include; live map based alerts, passphrase controlled intermediary access, admin dashboard for previous alerts with real time updates and smart filters allowing for compliant rapid response and good oversight for admins. The backend is implemented using Firebase Firestore as a realtime database for all records stored in structured documents, utility scripts for geocoding, parsing the json data, and filtering by distance. RakshaDeep focuses on privacy, dependability and user-centred design and was created as a technology enabled safety net for women in crisis.

Introduction

Women’s safety in urban areas remains a pressing social concern, with many incidents going unreported due to fear and limited access to help. RakshaDeep is a real-time digital platform designed to empower women by enabling them to send instant alerts to nearby verified NGOs and support centers, offering emergency, legal, or emotional/shelter assistance.

The system operates through three interconnected interfaces:

• Victim Interface: Allows women to discreetly request help and see nearby NGOs within a 5 km radius on an interactive map.

• Intermediary Interface: Enables trusted persons (friends, social workers) to raise alerts on behalf of victims, secured by a passphrase to prevent misuse.

• Admin Dashboard: Provides authorized personnel with real-time access to alerts, victim locations, and status tracking to coordinate responses efficiently.

RakshaDeep uses modern technologies including Firebase Firestore for real-time data storage, Folium maps for interactive visualization, Python scripts for processing NGO data and calculating distances, and geolocation APIs (ipinfo.io and Nominatim) for accurate location detection.

Alerts raised are securely stored and immediately pushed to admins for timely intervention. The system filters NGOs based on proximity and type of assistance, ensuring victims receive relevant and nearby support. Admins manage alert statuses (“Pending,” “Acknowledged,” “Resolved”) to maintain transparency and effective follow-up.

Implemented using Python and Streamlit, RakshaDeep offers intuitive interfaces tailored to user roles and emphasizes speed, confidentiality, and operational efficiency to provide critical support to women in distress.

Conclusion

RakshaDeep makes a practical, safe, and reactive solution for women in distress, integrating real-time alerting, geolocation, and NGO coordination via a triple-interface scheme. This efficient architecture allows the victims or intermediaries to send alerts faster, whereas the administrators are secured with commands that assure a suitable response accordingly. This platform is another instance where technology can genuinely be innovated for social good, having been developed considering Firebase, Folium maps, and geolocation APIs. Currently, RakshaDeep is confined to a certain location, and there is great scope for expansion wherein the platform can begin to incorporate offline access, multi-native, AI prioritization, and national reach and hence would become this fully scalable model for security and empowerment across India.

References

[1] A. R. Arundhati and G. Sinha, “Women Safety System with Emergency Alert, Analysis and Prediction,” [Online]. Available: https://ieeexplore.ieee.org/document/10742698 [2] D. V. K. Reddy, A. Lakkshmanan, and S. G. Sohan, “Integrated Women\'s Security System with Safe Route Navigation and Instant Law Enforcement Reporting,” [Online]. Available: https://ieeexplore.ieee.org/document/10527644 [3] D. Chand, S. Nayak, K. S. Bhat, S. Parikh, Y. Singh, and A. A. Kamath, “A mobile application for Women\'s Safety: WoSApp,” [Online]. Available: https://ieeexplore.ieee.org/document/7373171 [4] D. S. Prashanth, G. Patel, and B. Bharathi, “Research and Development of a Mobile Based Women Safety Application with Real-Time Database and Data-Stream Network,” [Online]. Available: https://ieeexplore.ieee.org/document/8074261 [5] National Crime Records Bureau, “Official Website,” [Online]. Available: https://www.ncrb.gov.in/

Copyright

Copyright © 2025 Aditi Uike , Arfat Shaikh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.