AI-powered mobile application that detects collisions or impacts and automatically alerts emergency services. Using Intel’s IntelligentAlerts™ Machine Learning technology, beSafe enhances personal and child safety on smartphones and wearables.

AI-powered mobile application that detects collisions or impacts and automatically alerts emergency services. Using Intel’s IntelligentAlerts™ Machine Learning technology.

Consumer: Android | Wearable

beSafe — runs on a smartphone, wearable device, detects a collision or impact and send a message to emergency services

My role

Lead UX design, UX research, Interaction design, Usability testing, UI design.

Responsibilities

Research • Interviews • Wireframes • Prototyping • Usability Testing • Visual Design • Promotion materials • Branding

Problem statement

There’s a growing need for accessible safety solutions across personal, child, and elderly care — from outdoor sports and travel to healthcare and patient monitoring. beSafe was designed to provide automatic detection and emergency alerts in moments that matter most.

Mockups

High-fidelity mockups illustrating the beSafe experience across mobile and wearable platforms — designed for quick access, intuitive controls, and reliable emergency response.

Wireframes

Wireframes demonstrate two variations of the alert flow, refined through usability testing to simplify setup and reduce false alarms.

Outcome:

 The beSafe prototype demonstrated how AI-driven safety technology could extend beyond enterprise security into personal well-being. The design achieved a fast, reliable alert flow and a user-friendly experience suitable for daily activities, sports, and elder care.

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