This challenge uses the pre-trained SketchRNN machine learning model (available with the ml5.js library) to create a p5.js sketch that finishes a person's drawing.
Challenges
Featured Challenge:
#188 — Voice Chatbot
In this coding challenge, I build a conversational voice chatbot entirely in the browser with p5.js. I combine three pieces: speech-to-text with OpenAI's Whisper model, text-to-speech with Kokoro TTS, and a "brain" for the bot. I also explore the transformers.js pipeline API and the Web Audio API. For the bot's brain, I start with a simple ELIZA-style therapist, then incorporate a RiveScript number-guessing game, and finally a local LLM.
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sketch-RNN
In this holiday coding challenge, I use ml5.js and Sketch-RNN to generate snowflake drawings.
In this multi-part coding challenge, I take a closer look at the Quick, Draw! dataset and create a simple node API to "replay" drawings of rainbows and cats using p5.js.
