Suraksha ai

Suraksha-AI solves a critical gap in personal safety: during an emergency, a victim may not have the time or ability to unlock their phone, open an app, and manually ask for help.

Most safety solutions also stop after sending an SOS, but an alert being sent does not mean that someone is actually coming to help.

Suraksha-AI creates a complete emergency-response loop by:

* Detecting potential distress through voice-based AI.
* Alerting trusted emergency contacts with the victim’s latest available location.
* Finding eligible nearby responders and allowing them to accept or decline the request.
* Keeping the victim informed with clear states such as SOS Sent → Alert Acknowledged → Help Is Coming → Responder Arrived.
* Tracking responder progress using live location, distance and dynamic geofencing.
* Expanding the nearby responder search when nobody initially responds.
* Monitoring safety journeys for significant route deviations or missed arrival times.
* Using a bounded AI agent to understand contact responses and assist with follow-up while keeping critical actions under backend and human control.

Suraksha is therefore not just another panic button. It bridges the gap between detecting danger and confirming that real human help is responding, while giving the victim continuous visibility into what is happening.