This repository includes the practice code of tensorflow course.
-
Updated
Jan 18, 2021 - Jupyter Notebook
This repository includes the practice code of tensorflow course.
Skin cancer detection is a project that aims to detect skin cancer through digital image analysis. The system uses machine learning algorithms to analyze images of skin lesions and determine if they are cancerous or not. This project can be helpful for early diagnosis of skin cancer, which can lead to better treatment.
App to scan dogs, identify using tensorflow-lite and save them in a database.
A machine learning model that detects ingredients in images of meals.
Demystifying machine learning, a group project.
TensorFlowlight 추론 테스트
object detection model written in tensorflow and compiled for android and swift
Android application for predicting pneumonia based on radiology images
OUTDATED!!! See LernfabrikProject Repository! Arduino code for my Lernfabrik project at Leuphana University.
I happened upon the idea of creating a face mask detector as tool which could be used to inform on face mask usage compliance in an automated way. This project will address the steps required to build the detector whilst a future project will look to integrate that detector into an application framework that returns usage data.
A mobile app to detect handwritten digits in images and drawings in realtime
Implementation of Tensorflow(ML Framework) and making it as an app.
AIPPA is an abbreviation of AI-Powered Plant Analyzer. It is an android application built with an offline image processing capability with a built-in Machine Learning model. It uses plant leaves to identify the disease in the plant (if any).
An Android software app that detects ingredients in images of meals.
Personnal project : Hand Tracking with OpenCV and MediaPipe (with Tensorflow LITE) using your webcam
Android App to recognize your pet through AI
Metadata provides essential information about the model, making it easier for others to understand, integrate, and use your model in various applications.
This repository contains code to deploy a tensorflow model into an android app
Add a description, image, and links to the tensorflowlite topic page so that developers can more easily learn about it.
To associate your repository with the tensorflowlite topic, visit your repo's landing page and select "manage topics."