The idea
Instead of requiring a user to stop and describe the screen, the system continuously extracts useful visual context and decides when that context is meaningful enough to surface.
AMS - LabReal-time vision assistant
A live OCR and vision pipeline that reads screen or capture-card input and turns visual context into timely, useful assistance.
Overview
The goal is a personal assistant that can understand what is visible right now. Input could come from a desktop, a camera, or a capture card, then become context for immediate guidance.
OCRComputer visionScreen captureAI modelsPython
Possible experiences
It could explain an application error, summarize a dashboard, identify text in a video feed, or help someone work through a difficult GTA mission using capture-card input.
Engineering focus
Latency, privacy, selective capture, OCR accuracy, signal handling, and avoiding noisy or unnecessary responses are as important as the model itself.
More systems. More questions.
Explore every project ↗