Working on some new examples with tensorflow.js and p5.js

운동 자세를 판별해 카운팅하고 자세를 분석해 개선사항을 출력해주는 웹

Ecosavvy is a waste segregator based on ML model built using CNN and trained over 8000 data samples which segregates waste into 11 different categories.

Create your own fictional constitution based on a sketch.

Incorporating the ml5 into vue.js

ml5 feature-extractor POC for icon search prediction based on canvas draw.

A game built with with ml5.js

A very simple example to train and classify frames from recorded videos using ML5.js the KNN Image Classifier.

Pong with hand detection controlls

AI-Object detection using webcam & JS

Arcania is an immersive and interactive experience, in witch you incarne two magicians using your phones as magic wands 🪄

Multi-user voice control of an instrument through pitch detection

Authentication experiment using Posenet and Wekinator

Multiplayer Doodle game, where the first one to draw a doodle wins.

AI yoga guide web application

A simple game in javascript using posenet try it here =>

Using the ml5.js library to perform image classification and object detection

This is an example of how to visualize the data while the training process is happening like the loss, accuracy, number of epochs and other parameters.

making exciting web pages using p5 javascript library