ml5-js

DS 2022 | Laboratorio di design dei sistemi (ICAR/13) @unirsmdesign @Fupete @iretrtr

SignAI: Real-Time Sign Language Recognition uses a Leap Motion device and KNN machine learning to recognize ASL gestures. The browser-based app adapts tutorial difficulty based on user performance for an interactive, real-time learning experience.

Typed on-device machine learning for Swift, built with Core ML, Vision, and MPSGraph.

🏓 PONG with Hand Pose controller! 🙌🏻

A p5.js sketch with a supervised feedforward neural network model using ml5.js for training and predicting the input shape's color based on training coordinates.

2021-S LG인도인턴십 프로젝트 | 자세 인식 알람 서비스

AI-Object detection using webcam & JS

Experiment of Gesture -> Annotations overlay for OBS with Teachable Machine. Usable in any video meeting platform.

Welcome to the Object Classifier Web App! This application allows you to classify objects using your device's camera. Simply turn on your camera, show the object (either a book or a phone), and the app will display the predicted label and percentage confidence.