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McAfee beSafe

AI-powered personal safety app

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.

Role: Lead UX Designer

Platforms: Android, Wearable

Project Type: Consumer AI safety prototype

Responsibilities Research Interviews Wireframes Prototyping Usability Testing Visual Design Branding
McAfee beSafe product screens

Project Focus

beSafe runs on a smartphone or wearable device, detects a collision or impact, and sends a message to emergency services and emergency contacts.

Design Direction

The experience was designed for fast access, clear alert states, intuitive controls, and reliable emergency response across mobile and wearable contexts.

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.

McAfee beSafe mockups McAfee beSafe mockups
Mobile and wearable screens for detection, alerting, and emergency response

Wireframes

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

McAfee beSafe wireframes
Alert setup and response flow exploration
McAfee beSafe wireframes
Interaction logic for emergency confirmation and false-alarm reduction

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.

McAfee beSafe outcome screens
Final outcome screens for mobile and wearable safety flows
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