Explore how machine learning works, live in the browser. No coding required.

Repository for the "Machine Learning for the Web" class at ITP, NYU

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.

A flutter project for demonstarting usage of TensorFlow Lite model created with teachablemachine.

Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!

Android app that uses a TensorFlow Lite model for image classification of common objects, trained through Google's Teachable Machine.

Mobile Version of Teachable Machine - Contribution to The Teachable Machine Project

A Flutter app that detects a plant's disease given a photo of an affected part of the plant.

The `princess-finder` is a fun app to use a bit of machine learning in the browser. This app was built as part of the Hashnode's #christmashackathon.

A mimic website of Pinterest where one can share ideas , socialize and find inspirational ideas

Dog breed image recognition with Teachable Machine & Tensorflow.js

Unveiling the Tremors, A Reliable Algorithm with 83% Accuracy for Detecting Parkinson's Disease through Spiral/Wave Sketch Images.

Chrome dinosaur game, but in a Machine Learning way 🤖

Take the image from camera and get Plant Disease.

Integrating Teachable Machine in Flutter for Identifying the number of fingers with a training set of 150 images for each number of fingers.

A hand gesture model web app to detect 1 and 2 in a picture.

A Python program that uses CNNs and moue/keyboard automation library called pyautogui to control your mouse based off your head pose.

🏆HOMEDONG : 모두가 건강하게 집에서 즐길 수 있는 운동 게임 - SSAFY 5기 공통 프로젝트 우수상(2021.08.20)

This android app takes food item image as input ,recognises the food item and calculates the nutrition value on the food , calories to be burned.

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