This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.
Chrome dinosaur game, but in a Machine Learning way 🤖
Unveiling the Tremors, A Reliable Algorithm with 83% Accuracy for Detecting Parkinson's Disease through Spiral/Wave Sketch Images.
Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classification
A template for any image classification problem with teachable machine
A lightweight Python package optimized for integrating exported models from Google's Teachable Machine Platform into robotics and embedded systems environments. This streamlined version of Teachable Machine Package is specifically designed for resource-constrained devices, making it easier to deploy and use your trained models in embedded apps.
How to make a simple AI project. Let's use Teachable Machine. Train a computer to recognize your own images, sounds, & poses. A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required
A Python program that uses CNNs and moue/keyboard automation library called pyautogui to control your mouse based off your head pose.
Coin recognition using IA
keras and tflite inference code for image project of teachable machine
Computer vision project that I worked on as part of my 'AI and Data Engineering' training at AiCore.
Picamera websocket for Teachable Machine
Covisight - Insights of the covid-19
Computer Vision Rock Paper Scissors game using Teachable Machine
Guidelines to use Teachable Machine to hack in AI courses. In this example, I classify 2 types of Vietnamese money (50k and 100k)
A simple game that uses image recognition to control your character.
Mask Detection for people with micro:bit as output device.
An artificial intelligence model using Teachable Machine to recognize and classify waste images (paper-wood-plastic-glass-organic).
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