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A web application made with machine learning for livening up video calls through the use of gestures.

HTML 15.75% JavaScript 73.38% CSS 10.87%

geschur's Introduction

Geschur

demo

Introduction

This app uses machine learning to read what gestures users are making on their cameras and overlays images ontop of their video feed. Users can also upload their own images for the gestures.

User Guide

Go to geschur.herokuapp.com to see Geschur in action!

To start the app:

Run

npm install -g live-server

Then run

live-server

Open localhost:8080 to open the app in the browser.

Tech Stack

Geschur was made using Teachable Machine, ml5.js, and p5.js.
This was developed during my time as a student at Code Chrysalis.

geschur's People

Contributors

alexdang1993374 avatar

Stargazers

Ehtesham Ali avatar

Watchers

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