tero project
Studying Internet latency from Gaming Footage
The project collects screenshots from video game live streams on Twitch. It reads the Internet latency numbers displayed on screen during gameplay. It figures out the streamer's location from their social media information. It processes all this data to estimate the Internet speed in different parts of the world.
The system downloads gaming footage from the Twitch streaming platform. It extracts the displayed latency measurements using optical character recognition and knowledge of each game's user interface. It maps streamers to locations using natural language processing on their social media profiles. It analyzes the measurements to produce latency distributions per geographical location.
active
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entered showcase: 2024-03-08
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entry updated: 2024-03-08
This project has not yet been evaluated by the C4DT Factory team.
We will be happy to evaluate it upon request.
Application
Python