Teachable machine projects for beginners. See full list on github.

Teachable machine projects for beginners Teachable Machine can create three types of classification models: Tutorial) - A project that classifies bananas based on their ripeness. Really extraordinary set of tools from Google Creative Lab, including this @Glitch app that’s a starter for Teachable Machine — letting you train your own machine learning projects right in a web browser. . com Mar 5, 2025 · By combining Scratch and Teachable Machine, kids can create AI-powered projects that interact with real-world inputs. To achieve a machine learning object classification system independent of a computer, our goal is to import the trained models from Teachable Machine into a microcontroller with an integrated camera, specifically the ESP32-S3. This guide explores integrating machine learning models on the ESP32 microcontroller, leveraging TensorFlow Lite and Edge AI for real-world applications. Apr 8, 2025 · Discover how to implement Teachable Machine on ESP32, making AI accessible for beginners. Tiny Sorter (Experiment) - A tangible project to sort tiny objects using Arduino, a servo motor, and a bit of paper. See full list on github. It can be used to train simple models for a wide range of applications such as image classification, object detection and gesture recognition. Apr 22, 2023 · Teachable Machine is a great tool for individuals, educators and students to learn the basics of machine learning and computer vision. 🔹 Step-by-Step Process: 1️⃣ Train the AI Model in Teachable Machine (ex: recognizing happy vs. sad faces). 2️⃣ Export the Model and connect it to Scratch using AI extensions. kdxer zlfyi fkob hsevrf avhg yufopka qxw hzbrzvt jszah bxkib