beginner-friendly machine learning tutorials in JavaScript (with p5.js and ml5.js)
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Updated
May 21, 2024 - HTML
beginner-friendly machine learning tutorials in JavaScript (with p5.js and ml5.js)
YogaAI is a ML5.js and PJ5.js Library based AI Yoga Trainer and Platfrom for Yoga Teacher and Student.
Arcania is an immersive and interactive experience, in witch you incarne two magicians using your phones as magic wands 🪄
Using the ml5.js library to perform image classification and object detection
Live website with micro coding projects
Discover Explainable AI (XAI) through interactive visualizations with P5.js. Dive into the world of AI decision-making and unravel complex concepts in an engaging, accessible way. Ideal for both enthusiasts and professionals seeking deeper insights into AI.
Sign Language Translator enables the hearing impaired user to communicate efficiently in sign language, and the application will translate the same into text/speech. The user has to train the model, by recording its own sign language gestures. Internally it uses MobileNet and KNN classifier to classify the gestures.
This is a simple web application that uses ml5.js library to detect objects in a video stream from the user's camera.
Yogasana assists users in achieving optimal posture during yoga practice through real-time pose detection.
A web AI hand detection
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.
This is a simple web application that allows users to upload an image and classify its contents using the MobileNet machine learning model.
An assistive-technology web application for copywriters with color blindness built using React.js, Express.js, ML5.js and Perplexity.AI LLM
Teaching myself machine learning with ml5
Virtual Yoga Instructor | Correct yoga Postures using AI
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