Introduction

AI helps LETSTOP improve detection accuracy over time. The system does not learn from personal content, but instead from patterns across thousands of anonymized trips. This allows the app to understand driving behavior more clearly while keeping your identity private.

What AI Learns, and What It Does Not

AI models are trained on high level signals that represent behavior rather than identity.

The system never uses message content, images, audio, or personal files to learn anything.

Improving Detection Over Time

As more trips are completed, the models gain a clearer understanding of how real world driving looks across many environments.

All improvements come from aggregated data, never from examining individual rides.

Your Device Does Most of the Work

Most detection happens directly on your phone. AI models interpret signals locally, so your device can determine trip boundaries, motion cues, and touch events without sending unnecessary data elsewhere.

Training AI Without Compromising Privacy

When aggregated data is used for training, personal identifiers are removed. This privacy first approach ensures AI improves without learning who you are or what you personally do on your phone.

A Smarter System With Every Drive

As LETSTOP grows, detection becomes more reliable, scoring becomes more consistent, and the app gets better at recognizing real distraction. Your participation strengthens the system without reducing your privacy.