Building an app using ARCore and TFLite plugins

This is a cat and dog classification mobile app.

This is a simple cross platform application with flutter combined with machine learning and CNN. One can take picture or use camera roll for X-Ray input and the model in this app will help to detect it the chest X-Ray is normal/opacity. TensorFlowlite is used to fit the model into mobile. It has a learning rate of 0.0001 on epoch 50.

App para classificar imagens de animais, utilizando a API do TensorFlow Lite. (Modelo em desenvolvimento)

Simple application to Detection Object on an image

Learn AI by create cat or dog app detection.

Malayalam Sign Language Recognition Application

Flutter food object detection with tensorflow lite to estimate calories

Neural Style Transfer Application with Flask API and Flutter

A Cross-Platform Application using TensorFlow-Lite and Flutter to recognize labels on fruits or vegetables to get more information about their trustworthiness.

XcessCITY is an innovative mobile application meticulously crafted to foster connections among Selangor citizens while enhancing their quality of life.

Learn AI by create flowers detection.

UI implementation of cardiovascular predictor

A repo to study Machine Learning's usage in Flutter.

Simple application to detect objects using pre-trained AI

EyeSpy: Real-time Human Detection and Surveillance with Flutter and TensorFlow Lite

Project for the pattern recognition course! 💻 📷

A Flutter-based application designed to help users track and manage their daily water footprint.