In this challenge, I demonstrate the entire process of training and deploying a machine learning classification model in JavaScript – data collection, model training, and prediction!
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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neural network
In this challenge, I use my JavaScript neural network library and a genetic algorithm to train an agent to play Flappy Bird.
In this coding challenge, I use my neural network JavaScript library to create a "color predictor."
In this coding challenge, I use my Toy Neural Networks library to solve the XOR problem.
